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ORCIDIEEE Transactions on Knowledge and Data Engineering, Volume 36
Volume 36, Number 1, January 2024
- Armin Danesh Pazho
, Ghazal Alinezhad Noghre, Arnab A. Purkayastha, Jagannadh Vempati, Martin Otto, Hamed Tabkhi:
A Survey of Graph-Based Deep Learning for Anomaly Detection in Distributed Systems. 1-20 - Chenhe Dong, Ying Shen, Shiyang Lin, Zhenzhou Lin, Yang Deng:
A Unified Framework for Contextual and Factoid Question Generation. 21-34 - An-An Liu, Haochun Lu, Heyu Zhou, Tian-Bao Li, Mohan S. Kankanhalli:
Balanced Class-Incremental 3D Object Classification and Retrieval. 35-48 - Zhiwen Yu, Zhijie Zhong, Kaixiang Yang, Wenming Cao, C. L. Philip Chen:
Broad Learning Autoencoder With Graph Structure for Data Clustering. 49-61 - Xiaocao Ouyang, Yan Yang, Wei Zhou, Yiling Zhang, Hao Wang, Wei Huang:
CityTrans: Domain-Adversarial Training With Knowledge Transfer for Spatio-Temporal Prediction Across Cities. 62-76 - Liangshao Hou, Delin Chu, Li-Zhi Liao:
Convergence of a Fast Hierarchical Alternating Least Squares Algorithm for Nonnegative Matrix Factorization. 77-89 - Zhihao Shen, Shun Li, Xi Zhao, Jianhua Zou:
CT-Auth: Capacitive Touchscreen-Based Continuous Authentication on Smartphones. 90-106 - Xiaolong Wan, Xixian Han, Jinbao Wang, Jianzhong Li:
Efficient Discovery of Functional Dependencies on Massive Data. 107-121 - Yinbin Miao, Yutao Yang, Xinghua Li, Linfeng Wei, Zhiquan Liu, Robert H. Deng:
Efficient Privacy-Preserving Spatial Data Query in Cloud Computing. 122-136 - Efrén Rama-Maneiro, Juan Carlos Vidal, Manuel Lama:
Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring. 137-151 - Ziyang Wang, Wei Wei, Shanshan Feng, Xian-Ling Mao, Minghui Qiu, Dangyang Chen, Rui Fang:
Exploiting Group-Level Behavior Pattern for Session-Based Recommendation. 152-166 - Huan Rong, Gongchi Chen, Tinghuai Ma, Victor S. Sheng, Elisa Bertino:
FuFaction: Fuzzy Factual Inconsistency Correction on Crowdsourced Documents With Hybrid-Mask at the Hidden-State Level. 167-183 - Yu Liu, Qian Ge, Wei Luo, Qiang Huang, Lei Zou, Haixu Wang, Xin Li, Chang Liu:
GraphMM: Graph-Based Vehicular Map Matching by Leveraging Trajectory and Road Correlations. 184-198 - Ting-Ting Su, Chang-Dong Wang, Wudong Xi, Jian-Huang Lai, Philip S. Yu:
Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation. 199-210 - Lianwei Wu, Pusheng Liu, Yongqiang Zhao, Peng Wang, Yanning Zhang:
Human Cognition-Based Consistency Inference Networks for Multi-Modal Fake News Detection. 211-225 - Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu:
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. 226-238 - Lei Zhu, Chaoqun Zheng, Weili Guan, Jingjing Li, Yang Yang, Heng Tao Shen:
Multi-Modal Hashing for Efficient Multimedia Retrieval: A Survey. 239-260 - Haonan Zhang, Yuyang Ren, Luoyi Fu, Xinbing Wang, Guihai Chen, Chenghu Zhou:
Multi-Scale Self-Supervised Graph Contrastive Learning With Injective Node Augmentation. 261-274 - Yixin Chen, Di Jiang, Conghui Tan, Yuanfeng Song, Chen Jason Zhang, Lei Chen:
Neural Moderation of ASMR Erotica Content in Social Networks. 275-280 - Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin:
Neural Similarity Search on Supergraph Containment. 281-295 - Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Qiao Xue, Tianyu Wo, Jie Xu:
PUTS: Privacy-Preserving and Utility-Enhancing Framework for Trajectory Synthesization. 296-310 - Byungjin Cho, Yu Xiao, Pan Hui, Daoyi Dong:
Quantum Bandit With Amplitude Amplification Exploration in an Adversarial Environment. 311-317 - Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin:
SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data. 318-334 - Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang:
Self-Supervised Learning for Recommender Systems: A Survey. 335-355 - Fan Zhang, Haicheng Guo, Dian Ouyang, Shiyu Yang, Xuemin Lin, Zhihong Tian:
Size-Constrained Community Search on Large Networks: An Effective and Efficient Solution. 356-371 - Chuanpan Zheng, Xiaoliang Fan, Shirui Pan, Haibing Jin, Zhaopeng Peng, Zonghan Wu, Cheng Wang, Philip S. Yu:
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting. 372-385 - Yuankai Wu, Hongyu Yang, Yi Lin, Hong Liu:
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction. 386-400 - Zeyu Wang, Zhenying He, Peng Wang, Yang Wang, Wei Wang:
Static and Streaming Discovery of Maximal Linear Representation Between Time Series. 401-415 - Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang:
Towards Semi-Supervised Universal Graph Classification. 416-428 - Junfan Huang, Peipei Kang, Na Han, Yonghao Chen, Xiaozhao Fang, Hongbo Gao, Guoxu Zhou:
Two-Stage Asymmetric Similarity Preserving Hashing for Cross-Modal Retrieval. 429-444 - Li Liu, Penggang Chen, Xin Li, William Kwok-Wai Cheung, Youmin Zhang, Qun Liu, Guoyin Wang:
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning. 445-458
Volume 36, Number 2, February 2024
- Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. 459-474 - Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock:
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. 475-489 - Yangyang Wu, Jun Wang, Xiaoye Miao, Wenjia Wang, Jianwei Yin:
Differentiable and Scalable Generative Adversarial Models for Data Imputation. 490-503 - Xinyu Chen, Chengyuan Zhang, Xiaoxu Chen, Nicolas Saunier, Lijun Sun:
Discovering Dynamic Patterns From Spatiotemporal Data With Time-Varying Low-Rank Autoregression. 504-517 - Dan Zhang, Wenzheng Feng, Yuandong Wang, Zhongang Qi, Ying Shan, Jie Tang:
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction. 518-529 - Donghao Zhang, Zhenyu Liu, Weiqiang Jia, Fei Wu, Hui Liu, Jianrong Tan:
Dual Attention Graph Convolutional Network for Relation Extraction. 530-543 - Pan Li, Maofei Que, Alexander Tuzhilin:
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations. 544-555 - Yalan Qin, Nan Pu, Hanzhou Wu:
Elastic Multi-View Subspace Clustering With Pairwise and High-Order Correlations. 556-568 - Tianyang Xie, Yong Ge:
Enhance Knowledge Graph Embedding by Mixup. 569-580 - Zhezheng Hao, Zhoumin Lu, Guoxu Li, Feiping Nie, Rong Wang, Xuelong Li:
Ensemble Clustering With Attentional Representation. 581-593 - Tianyu Xu, Jianfeng Qu, Wen Hua, Zhixu Li, Jiajie Xu, An Liu, Lei Zhao, Xiaofang Zhou:
Evidence Reasoning and Curriculum Learning for Document-Level Relation Extraction. 594-607 - Jian Zeng, Leong Hou U, Xiao Yan, Yan Li, Mingji Han, Bo Tang:
Extracting Top- Frequent and Diversified Patterns in Knowledge Graphs. 608-626 - Yu Sun, Shaoxu Song, Xiaojie Yuan:
From Minimum Change to Maximum Density: On Determining Near-Optimal S-Repair. 627-639 - Jun Xia, Haitao Lin, Yongjie Xu, Cheng Tan, Lirong Wu, Siyuan Li, Stan Z. Li:
GNN Cleaner: Label Cleaner for Graph Structured Data. 640-651 - Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin:
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets. 652-667 - Yuanbo Xu, En Wang, Yongjian Yang, Hui Xiong:
GS-RS: A Generative Approach for Alleviating Cold Start and Filter Bubbles in Recommender Systems. 668-681 - Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui:
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. 682-693 - Jiongnan Liu, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
Integrated Personalized and Diversified Search Based on Search Logs. 694-707 - Yan Leng, Tara Sowrirajan, Yujia Zhai, Alex Pentland:
Interpretable Stochastic Block Influence Model: Measuring Social Influence Among Homophilous Communities. 708-714 - Xiangru Zhu, Zhixu Li, Xiaodan Wang, Xueyao Jiang, Penglei Sun, Xuwu Wang, Yanghua Xiao, Nicholas Jing Yuan:
Multi-Modal Knowledge Graph Construction and Application: A Survey. 715-735 - Wei Zhang, Zhaohong Deng, Te Zhang, Kup-Sze Choi, Shitong Wang:
Multi-View Fuzzy Representation Learning With Rules Based Model. 736-749 - Reinald Adrian Pugoy, Hung-Yu Kao:
NEAR: Non-Supervised Explainability Architecture for Accurate Review-Based Collaborative Filtering. 750-765 - Yuechen Tao, Bo Li, Baochun Li:
On Atomicity and Confidentiality Across Blockchains Under Failures. 766-780 - Man Zhang, Xinghua Li, Yinbin Miao, Bin Luo, Yanbing Ren, Siqi Ma:
PEAK: Privacy-Enhanced Incentive Mechanism for Distributed -Anonymity in LBS. 781-794 - Hong Xie, Mingze Zhong, Xiaoyu Shi, Xiaoying Zhang, Jiang Zhong, Mingsheng Shang:
Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems. 795-808 - Yifu Tang, Jianxin Li, Nur Al Hasan Haldar, Ziyu Guan, Jiajie Xu, Chengfei Liu:
Reliability-Driven Local Community Search in Dynamic Networks. 809-822 - Li Ni, Junnan Ge, Yiwen Zhang, Wenjian Luo, Victor S. Sheng:
Semi-Supervised Local Community Detection. 823-839 - Chunyu Liu, Wei Wu, Siyu Wu, Lu Yuan, Rui Ding, Fuhui Zhou, Qihui Wu:
Social-Enhanced Explainable Recommendation With Knowledge Graph. 840-853 - Yuxin Yao, Eann A. Patterson, Richard J. Taylor:
The Influence of Digital Technologies on Knowledge Management in Engineering: A Systematic Literature Review. 854-867 - Wen-Zhi Li, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Towards Effective and Robust Graph Contrastive Learning With Graph Autoencoding. 868-881 - Dimah Dera, Sabeen Ahmed, Nidhal Carla Bouaynaya, Ghulam Rasool:
TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs. 882-896 - Yonghao Chen, Xiaozhao Fang, Yuanyuan Liu, Wei Zheng, Peipei Kang, Na Han, Shengli Xie:
Two-Step Strategy for Domain Adaptation Retrieval. 897-912 - Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin:
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. 913-926
Volume 36, Number 3, March 2024
- Bin Luo, Xinghua Li, Ximeng Liu, Jingjing Guo, Yanbing Ren, Siqi Ma, Jianfeng Ma:
$D^{2}MTS$: Enabling Dependable Data Collection With Multiple Crowdsourcers Trust Sharing in Mobile Crowdsensing. 927-942 - Xiaoye Qu, Yingjie Gu, Qingrong Xia, Zechang Li, Zhefeng Wang, Baoxing Huai:
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends. 943-959 - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Boosting Subspace Co-Clustering via Bilateral Graph Convolution. 960-971 - Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu:
Collaborative Graph Neural Networks for Attributed Network Embedding. 972-986 - Shijie Zhang, Wei Yuan, Hongzhi Yin:
Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks. 987-999 - Yao Tian, Xi Zhao, Xiaofang Zhou:
DB-LSH 2.0: Locality-Sensitive Hashing With Query-Based Dynamic Bucketing. 1000-1015 - Han Chen, Hanchen Wang, Hongmei Chen, Ying Zhang, Wenjie Zhang, Xuemin Lin:
Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions. 1016-1029 - Chuan Shi, Houye Ji, Zhiyuan Lu, Ye Tang, Pan Li, Cheng Yang:
Distance Information Improves Heterogeneous Graph Neural Networks. 1030-1043 - Jiancheng Du, Yang Gao:
Domain Adaptation and Summary Distillation for Unsupervised Query Focused Summarization. 1044-1055 - Hongbin Zhang, Qixin Zhang, Feng Wu, Yu Yang:
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints. 1056-1068 - Renjie Sun, Yanping Wu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin:
Efficient Balanced Signed Biclique Search in Signed Bipartite Graphs. 1069-1083 - Fuyuan Cao, Qingqiang Chen, Ying Xing, Jiye Liang:
Efficient Classification by Removing Bayesian Confusing Samples. 1084-1098 - Yu Wang, Liang Hu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang:
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement. 1099-1112 - Dingqi Yang, Bingqing Qu, Paolo Rosso, Philippe Cudré-Mauroux:
Fast and Slow Thinking: A Two-Step Schema-Aware Approach for Instance Completion in Knowledge Graphs. 1113-1129 - Zhi Chen, Jiang Duan, Li Kang, Hongyan Xu, Rui Chen, Guoping Qiu:
Generating Counterfactual Instances for Explainable Class-Imbalance Learning. 1130-1144 - Kai Yao, Lijun Chang, Lu Qin:
Identifying Large Structural Balanced Cliques in Signed Graphs. 1145-1160 - Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing:
Iterative Graph Self-Distillation. 1161-1169 - Quanxiu Wang, Xinlei Cao, Jianyong Wang, Wei Zhang:
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction. 1170-1182 - Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu, Jin Liu:
Learning Idempotent Representation for Subspace Clustering. 1183-1197 - Shiou-Chi Li, Jen-Wei Huang:
Let the Information Fly: Reconstructing Social Network After a Node Deleted. 1198-1209 - Mei Zhang, Yong-Dao Zhou, Zheng Zhou, Aijun Zhang:
Model-Free Subsampling Method Based on Uniform Designs. 1210-1220 - Lianhong Wang, Xiaoyao Li, Zhihui Luo, Zinan Hu, Qing Yan:
Multivariate Cognitive Response Framework for Student Performance Prediction on MOOC. 1221-1233 - Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace. 1234-1248 - Giulio Ermanno Pibiri, Roberto Trani:
Parallel and External-Memory Construction of Minimal Perfect Hash Functions With PTHash. 1249-1259 - Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou:
Query-Aware Explainable Product Search With Reinforcement Knowledge Graph Reasoning. 1260-1273 - Huawen Liu, Wenhua Zhou, Zongda Wu, Shichao Zhang, Gang Li, Xuelong Li:
Refining Codes for Locality Sensitive Hashing. 1274-1284 - Zeli Guan, Yawen Li, Zhenhui Pan, Yuxin Liu, Zhe Xue:
RFDG: Reinforcement Federated Domain Generalization. 1285-1298 - Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang:
Sample Efficient Offline-to-Online Reinforcement Learning. 1299-1310 - Yanting Yin, Yajing Wu, Xuebing Yang, Wensheng Zhang, Xiaojie Yuan:
Super Resolution Graph With Conditional Normalizing Flows for Temporal Link Prediction. 1311-1327 - Delvin Ce Zhang, Hady W. Lauw:
Topic Modeling on Document Networks With Dirichlet Optimal Transport Barycenter. 1328-1340 - Dimitrios Tsitsigkos, Panagiotis Bouros, Konstantinos Lampropoulos, Nikos Mamoulis, Manolis Terrovitis:
Two-Layer Space-Oriented Partitioning for Non-Point Data. 1341-1355 - Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng:
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms. 1356-1370 - Yuyan Chen, Yanghua Xiao, Zhixu Li, Bang Liu:
XMQAs: Constructing Complex-Modified Question-Answering Dataset for Robust Question Understanding. 1371-1384
Volume 36, Number 4, April 2024
- Changan Liu, Xiaotian Zhou, Ahad N. Zehmakan, Zhongzhi Zhang:
A Fast Algorithm for Moderating Critical Nodes via Edge Removal. 1385-1398 - Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann, Morten Mørup:
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations. 1399-1412 - Linmei Hu, Zeyi Liu, Ziwang Zhao, Lei Hou, Liqiang Nie, Juanzi Li:
A Survey of Knowledge Enhanced Pre-Trained Language Models. 1413-1430 - Yupian Lin, Tong Ruan, Jingping Liu, Haofen Wang:
A Survey on Neural Data-to-Text Generation. 1431-1449 - Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin:
Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation. 1450-1462 - Peng Zhou, Boao Hu, Dengcheng Yan, Liang Du:
Clustering Ensemble via Diffusion on Adaptive Multiplex. 1463-1474 - Le Yu, Zihang Liu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv:
Continuous-Time User Preference Modelling for Temporal Sets Prediction. 1475-1488 - Alec F. Diallo, Paul Patras:
Deciphering Clusters With a Deterministic Measure of Clustering Tendency. 1489-1501 - Haixin Wang, Huiyu Jiang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo:
DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning. 1502-1517 - Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen, Guoren Wang:
Efficient $k$k-Clique Counting on Large Graphs: The Power of Color-Based Sampling Approaches. 1518-1536 - Zicun Cong, Baoxu Shi, Shan Li, Jaewon Yang, Qi He, Jian Pei:
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently. 1537-1551 - Yalan Qin, Zhenjun Tang, Hanzhou Wu, Guorui Feng:
Flexible Tensor Learning for Multi-View Clustering With Markov Chain. 1552-1565 - Zhuoran Ma, Yang Liu, Yinbin Miao, Guowen Xu, Ximeng Liu, Jianfeng Ma, Robert H. Deng:
FlGan: GAN-Based Unbiased Federated Learning Under Non-IID Settings. 1566-1581 - Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong, Hua Lu:
Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-Location Pattern Mining. 1582-1596 - Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng:
Graph Adversarial Immunization for Certifiable Robustness. 1597-1610 - Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
GREASE: Graph Imbalance Reduction by Adding Sets of Edges. 1611-1623 - Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa:
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding. 1624-1637 - Dan Wang, Bo Li, Bin Song, Chen Chen, F. Richard Yu:
HSMH: A Hierarchical Sequence Multi-Hop Reasoning Model With Reinforcement Learning. 1638-1649 - Ting Yu, Ting Jiang, Mohamed Jaward Bah, Chen Zhao, Hao Huang, Mengchi Liu, Shuigeng Zhou, Zhao Li, Ji Zhang:
Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs. 1650-1666 - Qinggang Zhang, Junnan Dong, Qiaoyu Tan, Xiao Huang:
Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding. 1667-1682 - Yufeng Zhang, Jialu Pan, Wanwei Liu, Zhenbang Chen, Kenli Li, Ji Wang, Zhiming Liu, Hongmei Wei:
Kullback-Leibler Divergence-Based Out-of-Distribution Detection With Flow-Based Generative Models. 1683-1697 - Rong Xing, Rui Cheng, Jiwen Huang, Qing Li, Jingmei Zhao:
Learning to Understand the Vague Graph for Stock Prediction With Momentum Spillovers. 1698-1712 - Shangfei Zheng, Wei Chen, Weiqing Wang, Pengpeng Zhao, Hongzhi Yin, Lei Zhao:
Multi-Hop Knowledge Graph Reasoning in Few-Shot Scenarios. 1713-1727 - Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning:
Multi-Label Clinical Time-Series Generation via Conditional GAN. 1728-1740 - Weichang Wu, Xiaolu Zhang, Shiwan Zhao, Chilin Fu, Jun Zhou:
Multi-Task Decouple Learning With Hierarchical Attentive Point Process. 1741-1757 - Haotian Wang, Kun Kuang, Long Lan, Zige Wang, Wanrong Huang, Fei Wu, Wenjing Yang:
Out-of-Distribution Generalization With Causal Feature Separation. 1758-1772 - Liping Wang, Qiang Liu, Mengqi Zhang, Yaxuan Hu, Shu Wu, Liang Wang:
Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction. 1773-1784 - Huandong Wang, Qizhong Zhang, Yuchen Wu, Depeng Jin, Xing Wang, Lin Zhu, Li Yu:
Synthesizing Human Trajectories Based on Variational Point Processes. 1785-1799 - Hao Miao, Xiaolong Zhong, Jiaxin Liu, Yan Zhao, Xiangyu Zhao, Weizhu Qian, Kai Zheng, Christian S. Jensen:
Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing. 1800-1814 - Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin:
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. 1815-1828 - Zhao Chang, Dong Xie, Sheng Wang, Feifei Li, Yulong Shen:
Towards Practical Oblivious Join Processing. 1829-1842
Volume 36, Number 5, May 2024
- Ziming Ye, Xiao Zhang, Xu Chen, Hui Xiong, Dongxiao Yu:
Adaptive Clustering Based Personalized Federated Learning Framework for Next POI Recommendation With Location Noise. 1843-1856 - Yunjun Gao, Ziquan Fang, Jiachen Xu, Shenghao Gong, Chunhui Shen, Lu Chen:
An Efficient and Distributed Framework for Real-Time Trajectory Stream Clustering. 1857-1873 - Meng Li, Yanzhe Shen, Guixin Ye, Jialing He, Xin Zheng, Zijian Zhang, Liehuang Zhu, Mauro Conti:
Anonymous, Secure, Traceable, and Efficient Decentralized Digital Forensics. 1874-1888 - Jitao Lu, Feiping Nie, Xia Dong, Rong Wang, Xuelong Li:
Bidirectional Attentive Multi-View Clustering. 1889-1901 - Weitao Wan, Feng Zhang, Chenyang Zhang, Mingde Zhang, Jidong Zhai, Yunpeng Chai, Huanchen Zhang, Wei Lu, Yuxing Chen, Haixiang Li, Anqun Pan, Xiaoyong Du:
Compressed Data Direct Computing for Databases. 1902-1918 - Hong Qin, Debiao He, Qi Feng, Muhammad Khurram Khan, Min Luo, Kim-Kwang Raymond Choo:
Cryptographic Primitives in Privacy-Preserving Machine Learning: A Survey. 1919-1934 - Jiaxin Jiang, Byron Choi, Xin Huang, Jianliang Xu, Sourav S. Bhowmick:
DKWS: A Distributed System for Keyword Search on Massive Graphs. 1935-1950 - Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang:
Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction. 1951-1963 - Jun-Xian Chen, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang:
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering. 1964-1978 - Youru Li, Zhenfeng Zhu, Linxun Chen, Bin Yang, Yaxi Wu, Xiaobo Guo, Bing Han, Yao Zhao:
Exploring Large-Scale Financial Knowledge Graph for SMEs Supply Chain Mining. 1979-1990 - Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network. 1991-2008 - Chenxu Wang, Peijing Jiang, Xiangliang Zhang, Pinghui Wang, Tao Qin, Xiaohong Guan:
GTCAlign: Global Topology Consistency-Based Graph Alignment. 2009-2025 - Xuming Hu, Zhaochen Hong, Chenwei Zhang, Aiwei Liu, Shiao Meng, Lijie Wen, Irwin King, Philip S. Yu:
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. 2026-2040 - Xiaoling Zhou, Ou Wu, Mengyang Li:
Investigating the Sample Weighting Mechanism Using an Interpretable Weighting Framework. 2041-2055 - Shibo Feng, Chunyan Miao, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Yang Zhang, Peilin Zhao:
Multi-Scale Attention Flow for Probabilistic Time Series Forecasting. 2056-2068 - Peijie Sun, Le Wu, Kun Zhang, Xiangzhi Chen, Meng Wang:
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. 2069-2081 - Xianyong Zhang, Zhong Yuan, Duoqian Miao:
Outlier Detection Using Three-Way Neighborhood Characteristic Regions and Corresponding Fusion Measurement. 2082-2095 - Peng Zhou, Liang Du, Xinwang Liu, Zhaolong Ling, Xia Ji, Xuejun Li, Yi-Dong Shen:
Partial Clustering Ensemble. 2096-2109 - Hao Zhong, Yubo Zhang, Chenggang Yan, Zuxing Xuan, Ting Yu, Ji Zhang, Shihui Ying, Yue Gao:
Penalized Flow Hypergraph Local Clustering. 2110-2125 - Qiang Gao, Jinyu Hong, Xovee Xu, Ping Kuang, Fan Zhou, Goce Trajcevski:
Predicting Human Mobility via Self-Supervised Disentanglement Learning. 2126-2141 - Chris Xing Tian, Haoliang Li, Yufei Wang, Shiqi Wang:
Privacy-Preserving Constrained Domain Generalization Via Gradient Alignment. 2142-2150 - Taotao Cai, Qi Lei, Quan Z. Sheng, Ningning Cui, Shuiqiao Yang, Jian Yang, Wei Emma Zhang, Adnan Mahmood:
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks. 2151-2165 - Xin Wang, Heng Chang, Beini Xie, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu:
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. 2166-2178 - Yinwei Wei, Xiaoyang Qu, Xiang Wang, Yunshan Ma, Liqiang Nie, Tat-Seng Chua:
Rule-Guided Counterfactual Explainable Recommendation. 2179-2190 - Danlei Hu, Lu Chen, Hanxi Fang, Ziquan Fang, Tianyi Li, Yunjun Gao:
Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study. 2191-2212 - Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye:
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. 2213-2223 - Kai Huang, Yue Cui, Qingqing Ye, Yan Zhao, Xi Zhao, Yao Tian, Kai Zheng, Haibo Hu, Xiaofang Zhou:
TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. 2224-2238 - Weizhu Qian, Yan Zhao, Dalin Zhang, Bowei Chen, Kai Zheng, Xiaofang Zhou:
Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting. 2239-2256 - Bardh Prenkaj, Paola Velardi:
Unsupervised Detection of Behavioural Drifts With Dynamic Clustering and Trajectory Analysis. 2257-2270 - Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin:
Variational Counterfactual Prediction Under Runtime Domain Corruption. 2271-2284 - Qin Liu, Yu Peng, Ziyi Tang, Hongbo Jiang, Jie Wu, Tian Wang, Tao Peng, Guojun Wang:
veffChain: Enabling Freshness Authentication of Rich Queries Over Blockchain Databases. 2285-2300
Volume 36, Number 6, June 2024
- Pengfei Li, Yu Hua, Jingnan Jia, Pengfei Zuo:
A Fast Learned Key-Value Store for Concurrent and Distributed Systems. 2301-2315 - Huijun Liu, Bin Ji, Jie Yu, Shasha Li, Jun Ma, Zibo Yi, Mengxue Du, Miaomiao Li, Jie Liu, Zeyao Mo:
A More Context-Aware Approach for Textual Adversarial Attacks Using Probability Difference-Guided Beam Search. 2316-2328 - Zhiwen Ren, Han Fang, Jie Zhang, Zehua Ma, Ronghao Lin, Weiming Zhang, Nenghai Yu:
A Robust Database Watermarking Scheme That Preserves Statistical Characteristics. 2329-2342 - Yongjun Li, Xiangyu Li, Wenli Ji:
A Trajectory-Oriented Locality-Sensitive Hashing Method for User Identification. 2343-2356 - Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi:
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models. 2357-2371 - Youxi Wu, Yufei Meng, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu:
COPP-Miner: Top-k Contrast Order-Preserving Pattern Mining for Time Series Classification. 2372-2387 - Dianer Yu, Qian Li, Xiangmeng Wang, Qing Li, Guandong Xu:
Counterfactual Explainable Conversational Recommendation. 2388-2400 - Chuang Zhao, Hongke Zhao, Xiaomeng Li, Ming He, Jiahui Wang, Jianping Fan:
Cross-Domain Recommendation via Progressive Structural Alignment. 2401-2415 - Xinyue Shao, Hongzhi Wang, Xiang Chen, Xiao Zhu, Yan Zhang:
CUBE: Causal Intervention-Based Counterfactual Explanation for Prediction Models. 2416-2429 - Fengmei Jin, Wen Hua, Lei Li, Boyu Ruan, Xiaofang Zhou:
Efficient Frequency-Based Randomization for Spatial Trajectories Under Differential Privacy. 2430-2444 - Ningning Cui, Dong Wang, Jianxin Li, Huaijie Zhu, Xiaochun Yang, Jianliang Xu, Jie Cui, Hong Zhong:
Enabling Efficient, Verifiable, and Secure Conjunctive Keyword Search in Hybrid-Storage Blockchains. 2445-2460 - Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Graph Optimal Transport. 2461-2475 - Yulin Zhu, Liang Tong, Gaolei Li, Xiapu Luo, Kai Zhou:
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-Based Node Classification. 2476-2489 - Hongzhi Liu, Yao Zhu, Zhonghai Wu:
Knowledge Graph-Based Behavior Denoising and Preference Learning for Sequential Recommendation. 2490-2503 - Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao:
Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective. 2504-2516 - Zemin Liu, Yuan Fang, Wentao Zhang, Xinming Zhang, Steven C. H. Hoi:
Locality-Aware Tail Node Embeddings on Homogeneous and Heterogeneous Networks. 2517-2532 - Wei Zhao, Jiali Mao, Xingyi Lv, Cheqing Jin, Aoying Zhou:
Multi-Source Domain Adaptation Enhanced Warehouse Dwell Time Prediction. 2533-2547 - Kai Zou, Xike Xie, Haoyun Li, X. Sean Wang:
Multithreading Heterogeneous Graph Aggregation. 2548-2562 - Weiwei Yuan, Xiang Li, Donghai Guan:
Multi-View Attributed Network Embedding Using Manifold Regularization Preserving Non-Negative Matrix Factorization. 2563-2571 - Shuaiqi Liu, Jiannong Cao, Zhongfen Deng, Wenting Zhao, Ruosong Yang, Zhiyuan Wen, Philip S. Yu:
Neural Abstractive Summarization for Long Text and Multiple Tables. 2572-2586 - Yunlong Gao, Yuzhe Feng, Youwei Xie, Jinyan Pan, Feiping Nie:
Normalized Robust PCA With Adaptive Reconstruction Error Minimization. 2587-2599 - Kejing Yin, Dong Qian, William K. Cheung:
PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias. 2600-2613 - Yuhuan Lu, Dingqi Yang, Pengyang Wang, Paolo Rosso, Philippe Cudré-Mauroux:
Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction. 2614-2628 - Woojin Doo, Heeyoung Kim:
Simultaneous Deep Clustering and Feature Selection via K-Concrete Autoencoder. 2629-2642 - Yan Liu, Bin Guo, Jingxiang Meng, Daqing Zhang, Zhiwen Yu:
Spatio-Temporal Memory Augmented Multi-Level Attention Network for Traffic Prediction. 2643-2658 - Cong Xu, Jun Wang, Wei Zhang:
StableGCN: Decoupling and Reconciling Information Propagation for Collaborative Filtering. 2659-2670 - Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Kai Zheng:
STWave$^+$+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting. 2671-2685 - Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu:
TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation. 2686-2700 - Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu:
Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection. 2701-2715 - Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng:
Variational Continuous Label Distribution Learning for Multi-Label Text Classification. 2716-2729 - Zhichao Chen, Zhihuan Song, Zhiqiang Ge:
Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics. 2730-2744 - Wei Guan, Jian Cao, Haiyan Zhao, Yang Gu, Shiyou Qian:
WAKE: A Weakly Supervised Business Process Anomaly Detection Framework via a Pre-Trained Autoencoder. 2745-2758
Volume 36, Number 7, July 2024
- Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yueting Chen, Yang Liu:
A Distributed Solution for Efficient K Shortest Paths Computation Over Dynamic Road Networks. 2759-2773 - Alberto Hernández Chillón, Meike Klettke, Diego Sevilla Ruiz, Jesús García Molina:
A Generic Schema Evolution Approach for NoSQL and Relational Databases. 2774-2789 - Sepanta Zeighami, Raghav Seshadri, Cyrus Shahabi:
A Neural Database for Answering Aggregate Queries on Incomplete Relational Data. 2790-2802 - Dimitrios Karapiperis, Christos Tjortjis, Vassilios S. Verykios:
A Suite of Efficient Randomized Algorithms for Streaming Record Linkage. 2803-2813 - Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li:
A Survey on Generative Diffusion Models. 2814-2830 - Ming Zhong, Junyong Yang, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
A Unified and Scalable Algorithm Framework of User-Defined Temporal $(k,\mathcal {X})$(k,X)-Core Query. 2831-2845 - Yun Liang, Yijin Chen, Qiong Huang, Haoming Chen, Feiping Nie:
An Effective Optimization Method for Fuzzy $k$k-Means With Entropy Regularization. 2846-2861 - Ru Wang, Shangqi Lu, Yufei Tao:
An Index for Set Intersection With Post-Filtering. 2862-2876 - Pengpeng Qiao, Zhiwei Zhang, Yuntong Li, Ye Yuan, Shuliang Wang, Guoren Wang, Jeffrey Xu Yu:
AStore: Uniformed Adaptive Learned Index and Cache for RDMA-Enabled Key-Value Store. 2877-2894 - Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu:
Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation. 2895-2909 - Nur Al Hasan Haldar, Jianxin Li, Naveed Akhtar, Yan Jia, Ajmal Mian:
Co-Engaged Location Group Search in Location-Based Social Networks. 2910-2926 - Shuncheng Liu, Xu Chen, Yan Zhao, Han Su, Xiaofang Zhou, Kai Zheng:
Comfort-Aware Lane Change Planning With Exit Strategy for Autonomous Vehicle. 2927-2941 - Liang Zhang, Guannan Liu, Xiaohui Liu, Junjie Wu:
Denoising Item Graph With Disentangled Learning for Recommendation. 2942-2955 - Yongfeng Tao, Minqiang Yang, Huiru Li, Yushan Wu, Bin Hu:
DepMSTAT: Multimodal Spatio-Temporal Attentional Transformer for Depression Detection. 2956-2966 - Yuren Mao, Yu Hao, Xin Cao, Yixiang Fang, Xuemin Lin, Hua Mao, Zhiqiang Xu:
Dynamic Graph Embedding via Meta-Learning. 2967-2979 - Benjamin Denham, Edmund M.-K. Lai, Roopak Sinha, Muhammad Asif Naeem:
Dynamic Quantification With Constrained Error Under Unknown General Dataset Shift. 2980-2994 - Qintian Guo, Dandan Lin, Sibo Wang, Raymond Chi-Wing Wong, Wenqing Lin:
Efficient Algorithms for Group Hitting Probability Queries on Large Graphs. 2995-3008 - Jingxuan He, Xixian Han, Xiaolong Wan, Jinbao Wang:
Efficient Skyline Frequent-Utility Itemset Mining Algorithm on Massive Data. 3009-3023 - Haijun Zhang, Xian Yang, Liang Bai, Jiye Liang:
Enhancing Drug Recommendations Via Heterogeneous Graph Representation Learning in EHR Networks. 3024-3035 - Hanqi Yan, Lin Gui, Menghan Wang, Kun Zhang, Yulan He:
Explainable Recommender With Geometric Information Bottleneck. 3036-3046 - Jiayuan He, Yuan Li, Zenan Zhai, Biaoyan Fang, Camilo Thorne, Christian Druckenbrodt, Saber A. Akhondi, Karin Verspoor:
Focused Contrastive Loss for Classification With Pre-Trained Language Models. 3047-3061 - Mingze Ni, Zhensu Sun, Wei Liu:
Fraud's Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process. 3062-3075 - Xingrui Zhuo, Gongqing Wu, Zan Zhang, Xindong Wu:
Geometric-Contextual Mutual Infomax Path Aggregation for Relation Reasoning on Knowledge Graph. 3076-3090 - Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, Xindong Wu:
Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling. 3091-3110 - Pinghui Wang, Dongdong Xie, Junzhou Zhao, Jinsong Li, Zhicheng Li, Rundong Li, Yang Ren, Jia Di:
Half-Xor: A Fully-Dynamic Sketch for Estimating the Number of Distinct Values in Big Tables. 3111-3125 - Jian Gao, Jianshe Wu, Jingyi Ding:
Heterogeneous Graph Condensation. 3126-3138 - Chunming Lin, Bowen Du, Leilei Sun, Linchao Li:
Hierarchical Context Representation and Self-Adaptive Thresholding for Multivariate Anomaly Detection. 3139-3150 - Jiping Zheng, Fanxu Meng, Yanhao Wang, Xiaoyang Wang, Sheng Wang, Yuan Ma, Zhiyang Hao:
Hybrid Regret Minimization: A Submodular Approach. 3151-3165 - Qihang Zhou, Shibo He, Haoyu Liu, Jiming Chen, Wenchao Meng:
Label-Free Multivariate Time Series Anomaly Detection. 3166-3179 - Siyang Weng, Qingshuai Wang, Luyi Qu, Rong Zhang, Peng Cai, Weining Qian, Aoying Zhou:
Lauca: A Workload Duplicator for Benchmarking Transactional Database Performance. 3180-3194 - Kai Huang, Gaoya Ouyang, Qingqing Ye, Haibo Hu, Bolong Zheng, Xi Zhao, Ruiyuan Zhang, Xiaofang Zhou:
LDPGuard: Defenses Against Data Poisoning Attacks to Local Differential Privacy Protocols. 3195-3209 - Hang Chen, Bingyu Liao, Jing Luo, Wenjing Zhu, Xinyu Yang:
Learning a Structural Causal Model for Intuition Reasoning in Conversation. 3210-3223 - Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang:
Learning Graph ODE for Continuous-Time Sequential Recommendation. 3224-3236 - Huafeng Liu, Liping Jing, Jian Yu, Michael K. Ng:
Learning Hierarchical Preferences for Recommendation With Mixture Intention Neural Stochastic Processes. 3237-3251 - Pieter Dewulf, Michiel Stock, Bernard De Baets:
Link Prediction in Stagewise Graphs. 3252-3264 - Li Ni, Qiuyu Li, Yiwen Zhang, Wenjian Luo, Victor S. Sheng:
LSADEN: Local Spatial-Aware Community Detection in Evolving Geo-Social Networks. 3265-3280 - Jun Hu, Bryan Hooi, Shengsheng Qian, Quan Fang, Changsheng Xu:
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering. 3281-3296 - Qin Liu, Yu Peng, Mingzuo Xu, Hongbo Jiang, Jie Wu, Tian Wang, Tao Peng, Guojun Wang:
MPV: Enabling Fine-Grained Query Authentication in Hybrid-Storage Blockchain. 3297-3311 - Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaochen Zhu, Xiaokui Xiao, Beng Chin Ooi:
On Data Distribution Leakage in Cross-Silo Federated Learning. 3312-3328 - Jian Chen, Hong Gao, Kaiqi Zhang, Jiachi Wang, Yubo Luo, Zhenqing Wu, Jianzhong Li:
On Efficiently Processing MIT Queries in Trajectory Data. 3329-3347 - Jiahui Sun, Haiming Jin, Zhaoxing Yang, Lu Su:
Optimizing Long-Term Efficiency and Fairness in Ride-Hailing Under Budget Constraint via Joint Order Dispatching and Driver Repositioning. 3348-3362 - Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin:
Personalized Elastic Embedding Learning for On-Device Recommendation. 3363-3375 - Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He:
Personalized Prompt for Sequential Recommendation. 3376-3389 - Yan Zhen, Yunfei Wang, Peng He, Yaping Cui, Ruyan Wang, Dapeng Wu:
Popularity Balanced Multi-Task Bundling for Mobile Crowd Sensing. 3390-3401 - Yuyao Wang, Jie Cao, Youquan Wang, Jia Wu, Yangyang Liu:
Position Matters: Play a Sequential Game to Detect Significant Communities. 3402-3416 - Fangcheng Fu, Xuanyu Wang, Jiawei Jiang, Huanran Xue, Bin Cui:
ProjPert: Projection-Based Perturbation for Label Protection in Split Learning Based Vertical Federated Learning. 3417-3428 - Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong:
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer. 3429-3442 - Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Reinforced Path Reasoning for Counterfactual Explainable Recommendation. 3443-3459 - Feiping Nie, Qiang Chen, Weizhong Yu, Xuelong Li:
Row-Sparse Principal Component Analysis via Coordinate Descent Method. 3460-3471 - Jianhao Guo, Siliang Tang, Juncheng Li, Kaihang Pan, Lingfei Wu:
RustGraph: Robust Anomaly Detection in Dynamic Graphs by Jointly Learning Structural-Temporal Dependency. 3472-3485 - Shenbao Yu, Yifeng Zeng, Yinghui Pan, Fan Yang:
SNMCF: A Scalable Non-Negative Matrix Co-Factorization for Student Cognitive Modeling. 3486-3500 - Junyu Li, Fei Qi, Haoliang Yuan, Cheng Zhong, Hongmin Cai:
Stacked Network to Realize Spectral Clustering With Adaptive Graph Learning. 3501-3513 - Meiyu Liang, Yawen Li, Yang Yu, Xiaowen Cao, Zhe Xue, Ang Li, Kangkang Lu:
Structures Aware Fine-Grained Contrastive Adversarial Hashing for Cross-Media Retrieval. 3514-3528 - Venktesh V, Mukesh K. Mohania, Vikram Goyal:
TagRec++: Hierarchical Label Aware Attention Network for Question Categorization. 3529-3540 - Yang Xu, Lei Zhu, Jingjing Li, Fengling Li, Heng Tao Shen:
Temporal Social Graph Network Hashing for Efficient Recommendation. 3541-3555 - Ding Zou, Sen Zhao, Wei Wei, Xian-Ling Mao, Ruixuan Li, Dangyang Chen, Rui Fang, Yuanyuan Fu:
Towards Hierarchical Intent Disentanglement for Bundle Recommendation. 3556-3567 - Yanming Li, Shiye Wang, Changsheng Li, Ye Yuan, Guoren Wang:
Towards Very Deep Representation Learning for Subspace Clustering. 3568-3579 - Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu:
Unifying Large Language Models and Knowledge Graphs: A Roadmap. 3580-3599 - Hangyu Zheng, Youhuan Li, Fang Xiong, Xiaosen Li, Lei Zou, Peifan Shi, Zheng Qin:
Vertex Encoding for Edge Nonexistence Determination With SIMD Acceleration. 3600-3614 - Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang:
Vertical Federated Learning: Concepts, Advances, and Challenges. 3615-3634
Volume 36, Number 8, 2024
- Mingxin Li, Hancheng Wang, Haipeng Dai, Meng Li, Chengliang Chai, Rong Gu, Feng Chen, Zhiyuan Chen, Shuaituan Li, Qizhi Liu, Guihai Chen:
A Survey of Multi-Dimensional Indexes: Past and Future Trends. 3635-3655 - Xinye Wang, Lei Duan, Chengxin He, Yuanyuan Chen, Xindong Wu:
An Efficient Adaptive Multi-Kernel Learning With Safe Screening Rule for Outlier Detection. 3656-3669 - Lang Zhang, Fuyuan Xiao:
Belief Rényi Divergence of Divergence and its Application in Time Series Classification. 3670-3681 - Liang Li, Yuangang Pan, Jie Liu, Yue Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li:
BGAE: Auto-Encoding Multi-View Bipartite Graph Clustering. 3682-3696 - Xi Li, David J. Miller, Zhen Xiang, George Kesidis:
BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers: A Comprehensive Study. 3697-3711 - Jiqing Gu, Chao Song, Haipeng Dai, Li Lu, Ming Liu:
Compact Estimator for Streaming Triangle Counting. 3712-3724 - Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Qianying Wang:
Context-Aware Commonsense Knowledge Graph Reasoning With Path-Guided Explanations. 3725-3738 - Hadi Hojjati, Narges Armanfard:
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection. 3739-3750 - Haicang Zhou, Tiantian He, Yew-Soon Ong, Gao Cong, Quan Chen:
Differentiable Clustering for Graph Attention. 3751-3764 - Xiang-Ru Yu, Deng-Bao Wang, Min-Ling Zhang:
Dimensionality Reduction for Partial Label Learning: A Unified and Adaptive Approach. 3765-3782 - Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang:
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting. 3783-3800 - Xingxing Xiao, Jianzhong Li:
Efficient Algorithms for Rank-Regret Minimization. 3801-3816 - Zhitao Li, Xueyang Wu, Weike Pan, Youlong Ding, Zeheng Wu, Shengqi Tan, Qian Xu, Qiang Yang, Zhong Ming:
FedCORE: Federated Learning for Cross-Organization Recommendation Ecosystem. 3817-3831 - Xin Yang, Hao Yu, Xin Gao, Hao Wang, Junbo Zhang, Tianrui Li:
Federated Continual Learning via Knowledge Fusion: A Survey. 3832-3850 - Chenchen Fu, Xiaoxing Qiu, Vincent Chau, Zelin Yun, Chun Jason Xue, Weiwei Wu, Junzhou Luo, Song Han:
Fresh Data Retrieval With Speed-Adjustable Mobile Devices in Cyber-Physical Systems. 3851-3866 - Liyuan Zhang, Yongquan Jiang, Yan Yang:
GNNGO3D: Protein Function Prediction Based on 3D Structure and Functional Hierarchy Learning. 3867-3878 - Zhao Li, Chenxu Wang, Xin Wang, Zirui Chen, Jianxin Li:
HJE: Joint Convolutional Representation Learning for Knowledge Hypergraph Completion. 3879-3892 - Xiao Han, Yuncong Yang, Junjie Wu, Hui Xiong:
HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing. 3893-3905 - Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Shenhan Zhu, Xiaonan Nie, Yaofeng Tu, Bin Cui:
Improving Automatic Parallel Training via Balanced Memory Workload Optimization. 3906-3920 - Ying Fu, Kaibo Liu, Wenbin Zhu:
Instance Selection via Voronoi Neighbors for Binary Classification Tasks. 3921-3933 - Zhiyong Li, Haojie Liu, Xiantao Peng, Wei Jiang:
Inter-Intra Modality Knowledge Learning and Clustering Noise Alleviation for Unsupervised Visible-Infrared Person Re-Identification. 3934-3947 - Jiawei Duan, Qingqing Ye, Haibo Hu, Xinyue Sun:
LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space. 3948-3962 - Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Learnable Model Augmentation Contrastive Learning for Sequential Recommendation. 3963-3976 - Liyuan Liu, Hanbing Zhang, Yinan Jing, Zhenying He, Kai Zhang, X. Sean Wang:
Learned Optimizer for Online Approximate Query Processing in Data Exploration. 3977-3991 - Wanyi Xie, Zhijia Chen, Chen Jason Zhang, Libin Zheng, Peng Cheng, Jian Yin, Xuemin Lin:
Longer Pick-Up for Less Pay: Towards Discount-Based Mobility Services. 3992-4006 - Zahra Donyavi, Adriane Beatriz de Souza Serapião, Gustavo Batista:
MC-SQ and MC-MQ: Ensembles for Multi-Class Quantification. 4007-4019 - Xubin Wang, Haojiong Shangguan, Fengyi Huang, Shangrui Wu, Weijia Jia:
MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection. 4020-4033 - Xue Liu, Dan Sun, Xiaobo Cao, Hao Ye, Wei Wei:
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies. 4034-4049 - Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang:
Modeling Spatio-Temporal Dynamical Systems With Neural Discrete Learning and Levels-of-Experts. 4050-4062 - Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun:
Motif-Driven Contrastive Learning of Graph Representations. 4063-4075 - Chongjie Si, Yuheng Jia, Ran Wang, Min-Ling Zhang, Yanghe Feng, Chongxiao Qu:
Multi-Label Classification With High-Rank and High-Order Label Correlations. 4076-4088 - Lu Zhang, Zhibin Li, Shekhar S. Chandra, Fatima A. Nasrallah:
Multi-Modal Traumatic Brain Injury Prognosis via Structure-Aware Field-Wise Learning. 4089-4100 - Lijie Hu, Zihang Xiang, Jiabin Liu, Di Wang:
Nearly Optimal Rates of Privacy-Preserving Sparse Generalized Eigenvalue Problem. 4101-4115 - Anwar Said, Obaid Ullah Ahmad, Waseem Abbas, Mudassir Shabbir, Xenofon D. Koutsoukos:
Network Controllability Perspectives on Graph Representation. 4116-4128 - Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, David M. Mount, Hanan Samet:
On Efficient Shortest Path Computation on Terrain Surface: A Direction-Oriented Approach. 4129-4143 - Heng Lian, Di Wu, Bo-Jian Hou, Jian Wu, Yi He:
Online Learning From Evolving Feature Spaces With Deep Variational Models. 4144-4162 - Zekun Li, Lei Qi, Yawen Li, Yinghuan Shi, Yang Gao:
Open-Domain Semi-Supervised Learning via Glocal Cluster Structure Exploitation. 4163-4177 - Zan Zhang, Jialu Yao, Lin Liu, Jiuyong Li, Lei Li, Xindong Wu:
Partial Label Feature Selection: An Adaptive Approach. 4178-4191 - Ou Wu, Mengyang Li:
Revisiting the Effective Number Theory for Imbalanced Learning. 4192-4206 - Suyuan Liu, Qing Liao, Siwei Wang, Xinwang Liu, En Zhu:
Robust and Consistent Anchor Graph Learning for Multi-View Clustering. 4207-4219 - Xinye Wang, Lei Duan, Zhenyang Yu, Chengxin He, Zhifeng Bao:
Robust Multi-Kernel Nearest Neighborhood for Outlier Detection. 4220-4231 - Yixiang Dong, Minnan Luo, Jundong Li, Ziqi Liu, Qinghua Zheng:
Semi-Supervised Graph Contrastive Learning With Virtual Adversarial Augmentation. 4232-4244 - Guanghui Zhu, Mengyu Chen, Chunfeng Yuan, Yihua Huang:
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective. 4245-4259 - Yongshun Gong, Tiantian He, Meng Chen, Bin Wang, Liqiang Nie, Yilong Yin:
Spatio-Temporal Enhanced Contrastive and Contextual Learning for Weather Forecasting. 4260-4274 - Likang Wu, Zhi Li, Hongke Zhao, Zhenya Huang, Yongqiang Han, Junji Jiang, Enhong Chen:
Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation. 4275-4289 - Jihong Wang, Minnan Luo, Jundong Li, Ziqi Liu, Jun Zhou, Qinghua Zheng:
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective. 4290-4303 - Ruiping Wang, Zhijian Hu, Xiao Song, Wenxin Li:
Trajectory Distribution Aware Graph Convolutional Network for Trajectory Prediction Considering Spatio-Temporal Interactions and Scene Information. 4304-4316 - Alaa Tharwat, Wolfram Schenck:
Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget. 4317-4330 - Liangtian Wan, Zhengqiang Fu, Yi Ling, Yuchen Sun, Xiaona Li, Lu Sun, Feng Xia, Xiaoran Yan, Charu C. Aggarwal:
Z-Laplacian Matrix Factorization: Network Embedding With Interpretable Graph Signals. 4331-4345
Volume 36, Number 9, September 2024
- Xiaocan Li, Kun Xie, Xin Wang, Gaogang Xie, Kenli Li, Jiannong Cao, Dafang Zhang, Jigang Wen:
A Light-Weight and Robust Tensor Convolutional Autoencoder for Anomaly Detection. 4346-4360 - Junyi Li, Lizhen Wang, Peizhong Yang, Lihua Zhou:
A Novel Algorithm for Efficiently Mining Spatial Multi-Level Co-Location Patterns. 4361-4374 - Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li:
A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation. 4375-4385 - Yuan Wang, Zhiqiang Tao, Yi Fang:
A Unified Meta-Learning Framework for Fair Ranking With Curriculum Learning. 4386-4397 - Heyuan Wang, Tengjiao Wang, Shun Li, Jiayi Zheng, Weijun Chen, Wei Chen:
Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast. 4398-4410 - Linlin You, Sheng Liu, Tao Wang, Bingran Zuo, Yi Chang, Chau Yuen:
AiFed: An Adaptive and Integrated Mechanism for Asynchronous Federated Data Mining. 4411-4427 - Benyuan Yang, Hesuan Hu:
An Efficient Verification Approach to Separation of Duty in Attribute-Based Access Control. 4428-4442 - Shuyuan Li, Yuxiang Zeng, Yuxiang Wang, Yiman Zhong, Zimu Zhou, Yongxin Tong:
An Experimental Study on Federated Equi-Joins. 4443-4457 - Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu:
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation. 4458-4471 - Chengyan Ma, Di Lu, Chaoyue Lv, Ning Xi, Xiaohong Jiang, Yulong Shen, Jianfeng Ma:
BiTDB: Constructing A Built-in TEE Secure Database for Embedded Systems. 4472-4485 - Lixiang Yuan, Mingxing Duan, Guoqing Xiao, Zhuo Tang, Kenli Li:
BM-FL: A Balanced Weight Strategy for Multi-Stage Federated Learning Against Multi-Client Data Skewing. 4486-4498 - Jing Zhao, Jiajie Xu, Yuan Xu, Junhua Fang, Pingfu Chao, Xiaofang Zhou:
CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction. 4499-4514 - Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu:
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network. 4515-4530 - Yu Zhang, Feng Zhang, Hourun Li, Shuhao Zhang, Xiaoguang Guo, Yuxing Chen, Anqun Pan, Xiaoyong Du:
Data-Aware Adaptive Compression for Stream Processing. 4531-4549 - Mohammadreza Najafi, Thamir M. Qadah, Mohammad Sadoghi, Hans-Arno Jacobsen:
DIBA: A Re-Configurable Stream Processor. 4550-4566 - Lin Chen, Xiaofeng Ding, Zhifeng Bao, Pan Zhou, Hai Jin:
Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization. 4567-4581 - Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen:
Efficient Algorithms for Personalized PageRank Computation: A Survey. 4582-4602 - Shuchang Zeng, Ching-Fang Hsu, Lein Harn, Yi-Ning Liu, Yang Liu:
Efficient and Privacy-Preserving Skyline Queries Over Encrypted Data Under a Blockchain-Based Audit Architecture. 4603-4617 - Jianhua Wang, Jianye Yang, Zhaoquan Gu, Dian Ouyang, Zhihong Tian, Xuemin Lin:
Efficient Maximal Biclique Enumeration on Large Signed Bipartite Graphs. 4618-4631 - Nan Zhang, Xiaoqin Zhang, Shiliang Sun:
Efficient Multiview Representation Learning With Correntropy and Anchor Graph. 4632-4645 - Haodi Zhong, Grigorios Loukides, Alessio Conte, Solon P. Pissis:
Ego-Network Segmentation via (Weighted) Jaccard Median. 4646-4663 - Zhen Long, Ce Zhu, Pierre Comon, Yazhou Ren, Yipeng Liu:
Feature Space Recovery for Efficient Incomplete Multi-View Clustering. 4664-4677 - Xinqi Du, Ziyue Li, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen:
FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning. 4678-4692 - Nianwen Ning, Bin Wu, Haoqing Ren, Qiuyue Li:
Graph Alignment Neural Network Model With Graph to Sequence Learning. 4693-4706 - Xing Tang, Ling Chen:
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method. 4707-4721 - Jie Chen, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Puhua Chen, Shuyuan Yang, Biao Hou:
Hierarchical Dynamic Graph Clustering Network. 4722-4735 - Yao Yao, Bin Liu, Haoxun He, Dakui Sheng, Ke Wang, Li Xiao, Huanhuan Cao:
I-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems. 4736-4749 - Erhu He, Yiqun Xie, Weiye Chen, Sergii Skakun, Han Bao, Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia:
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. 4750-4765 - Yikai Zhang, Jeffrey Xu Yu, Ying Zhang, Lu Qin:
Maintaining Top-$t$ Cores in Dynamic Graphs. 4766-4780 - Hui Ye, Rajshekhar Sunderraman, Shihao Ji:
MatchXML: An Efficient Text-Label Matching Framework for Extreme Multi-Label Text Classification. 4781-4793 - Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He:
Mitigating Hidden Confounding Effects for Causal Recommendation. 4794-4805 - Shengda Zhuo, Jin-Jie Qiu, Chang-Dong Wang, Shu-Qiang Huang:
Online Feature Selection With Varying Feature Spaces. 4806-4819 - Dianlong You, Huigui Yan, Jiawei Xiao, Zhen Chen, Di Wu, Limin Shen, Xindong Wu:
Online Learning for Data Streams With Incomplete Features and Labels. 4820-4834 - Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. 4835-4848 - Yuan Gao, Jinghan Li, Xiang Wang, Xiangnan He, Huamin Feng, Yongdong Zhang:
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection. 4849-4861 - Dragan Milicev, Zivojin Sustran:
Rewriting Queries for Hyper-Relations. 4862-4873 - Meng Geng, Youxi Wu, Yan Li, Jing Liu, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu:
RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining. 4874-4889 - Hao Zhang, Yang Liu, Xiaoyan Liu, Tianming Liang, Gaurav Sharma, Liang Xue, Maozu Guo:
Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction. 4890-4903 - Rafaël Van Belle, Jochen De Weerdt:
SHINE: A Scalable Heterogeneous Inductive Graph Neural Network for Large Imbalanced Datasets. 4904-4915 - Lina Li, Yang Liu, Guodong Sun, Nianfeng Li:
Smart Contract Vulnerability Detection Based on Automated Feature Extraction and Feature Interaction. 4916-4929 - Canyu Zhang, Feiping Nie, Rong Wang, Xuelong Li:
Supervised Feature Selection via Multi-Center and Local Structure Learning. 4930-4942 - Yan Zhao, Xuanlei Chen, Guanyu Ye, Fangda Guo, Kai Zheng, Xiaofang Zhou:
Task Allocation in Spatial Crowdsourcing: An Efficient Geographic Partition Framework. 4943-4955 - Yawen Li, Zhizhi Yu, Dongxiao He:
Text-Rich Graph Neural Networks With Subjective-Objective Semantic Modeling. 4956-4967 - Jia-Yao Chen, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen, Lei Wang, Ming-Kun Xie:
UNM: A Universal Approach for Noisy Multi-Label Learning. 4968-4980 - Tong Liu, Xulong Wang, Po Yang, Sheng Chen, Chris J. Harris:
Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output. 4981-4995 - Yujia Zhou, Jing Yao, Ledell Wu, Zhicheng Dou, Ji-Rong Wen:
WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm. 4996-5006
Volume 36, Number 10, October 2024
- Di Chai, Leye Wang, Liu Yang, Junxue Zhang, Kai Chen, Qiang Yang:
A Survey for Federated Learning Evaluations: Goals and Measures. 5007-5024 - Liangliang Wen, Jiye Liang, Kaixuan Yao, Zhiqiang Wang:
Black-Box Adversarial Attack on Graph Neural Networks With Node Voting Mechanism. 5025-5038 - Yi Xu, Liangzhe Han, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong:
Bootstrapping on Continuous-Time Dynamic Graphs for Crowd Flow Modeling. 5039-5052 - HyunGi Kim, Siwon Kim, Seonwoo Min, Byunghan Lee:
Contrastive Time-Series Anomaly Detection. 5053-5065 - Xin Mu, Ming Pang, Feida Zhu:
Data Provenance via Differential Auditing. 5066-5079 - Peiguang Jing, Haoyi Sun, Liqiang Nie, Yun Li, Yuting Su:
Deep Multi-Modal Hashing With Semantic Enhancement for Multi-Label Micro-Video Retrieval. 5080-5091 - Lingli Li, Wenjing Sun, Baohua Wu:
DForest: A Minimal Dimensionality-Aware Indexing for High-Dimensional Exact Similarity Search. 5092-5105 - Jingyi Hou, Zhen Dong, Jiayu Zhou, Zhijie Liu:
Discovering Predictable Latent Factors for Time Series Forecasting. 5106-5119 - Zhihao Shen, Kang Yang, Xi Zhao, Jianhua Zou, Wan Du, Junjie Wu:
DMM: A Deep Reinforcement Learning Based Map Matching Framework for Cellular Data. 5120-5137 - Yuhan Liu, Tianhao Wang, Yixuan Liu, Hong Chen, Cuiping Li:
Edge-Protected Triangle Count Estimation Under Relationship Local Differential Privacy. 5138-5152 - Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Xiaofeng Zhu, Qing Li:
FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning. 5153-5167 - Guoliang He, Lifang Dai, Zhiwen Yu, C. L. Philip Chen:
GAN-Based Temporal Association Rule Mining on Multivariate Time Series Data. 5168-5180 - Jianxiang Yu, Qingqing Ge, Xiang Li, Aoying Zhou:
Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples. 5181-5193 - Yuhong Xu, Zhiwen Yu, C. L. Philip Chen:
Improved Contraction-Expansion Subspace Ensemble for High-Dimensional Imbalanced Data Classification. 5194-5205 - Menghui Zhou, Xulong Wang, Tong Liu, Yun Yang, Po Yang:
Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. 5206-5220 - Kang Yang, Ruiyun Yu, Bingyang Guo, Jie Li:
Interaction Subgraph Sequential Topology-Aware Network for Transferable Recommendation. 5221-5233 - Chang Ye, Yuchen Li, Bingsheng He, Zhao Li, Jianling Sun:
Large-Scale Graph Label Propagation on GPUs. 5234-5248 - Shijie Zhang, Jiang Xiao, Enping Wu, Feng Cheng, Bo Li, Wei Wang, Hai Jin:
MorphDAG: A Workload-Aware Elastic DAG-Based Blockchain. 5249-5264 - Shuxian Li, Liyan Song, Xiaoyu Wu, Zheng Hu, Yiu-ming Cheung, Xin Yao:
Multi-Class Imbalance Classification Based on Data Distribution and Adaptive Weights. 5265-5279 - Xingyi Li, Xiang Cheng, Min Xia, Qiyu Ren, Zhaofeng He, Sen Su:
Multi-Passage Machine Reading Comprehension Through Multi-Task Learning and Dual Verification. 5280-5293 - Wenming Wu, Wensheng Zhang, Maoguo Gong, Xiaoke Ma:
Noised Multi-Layer Networks Clustering With Graph Denoising and Structure Learning. 5294-5307 - Primal Pappachan, Shufan Zhang, Xi He, Sharad Mehrotra:
Preventing Inferences Through Data Dependencies on Sensitive Data. 5308-5327 - Yi Zhu, Ye Wang, Jipeng Qiang, Xindong Wu:
Prompt-Learning for Short Text Classification. 5328-5339 - Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai, Kunlun He:
RARE: Robust Masked Graph Autoencoder. 5340-5353 - Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Bowei He, Bhaskar Mitra, Xue Liu:
Result Diversification in Search and Recommendation: A Survey. 5354-5373 - Yiheng Jiang, Yongjian Yang, Yuanbo Xu, En Wang:
Spatial-Temporal Interval Aware Individual Future Trajectory Prediction. 5374-5387 - Guangyin Jin, Yuxuan Liang, Yuchen Fang, Zezhi Shao, Jincai Huang, Junbo Zhang, Yu Zheng:
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey. 5388-5408 - Xin Liang, Yanli Ji, Wei-Shi Zheng, Wangmeng Zuo, Xiaofeng Zhu:
SV-Learner: Support-Vector Contrastive Learning for Robust Learning With Noisy Labels. 5409-5422 - Zigui Jiang, Weilin Zheng, Bo Liu, Hong-Ning Dai, Haoran Xie, Xiapu Luo, Zibin Zheng, Qing Li:
Unravelling Token Ecosystem of EOSIO Blockchain. 5423-5439 - Weirui Kuang, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding:
When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture. 5440-5452
Volume 36, Number 11, November 2024
- Linan Yue, Qi Liu, Binbin Jin, Han Wu, Yanqing An:
A Circumstance-Aware Neural Framework for Explainable Legal Judgment Prediction. 5453-5467 - Hanlei Zhang, Hua Xu, Xin Wang, Fei Long, Kai Gao:
A Clustering Framework for Unsupervised and Semi-Supervised New Intent Discovery. 5468-5481 - Wei Ai, CanHao Xie, Tao Meng, Jiayi Du, Keqin Li:
A D-Truss-Equivalence Based Index for Community Search Over Large Directed Graphs. 5482-5494 - Zongwen Fan, Jin Gou, Shaoyuan Weng:
A Feature Importance-Based Multi-Layer CatBoost for Student Performance Prediction. 5495-5507 - Yuchen Li, Shixuan Sun, Hanhua Xiao, Chang Ye, Shengliang Lu, Bingsheng He:
A Survey on Concurrent Processing of Graph Analytical Queries: Systems and Algorithms. 5508-5528 - Hengzhi Wang, En Wang, Yongjian Yang, Bo Yang, Jiangchuan Liu:
A Truthful Pricing-Based Defending Strategy Against Adversarial Attacks in Budgeted Combinatorial Multi-Armed Bandits. 5529-5543 - Zirui Liu, Xiangyuan Wang, Yuhan Wu, Tong Yang, Kaicheng Yang, Hailin Zhang, Yaofeng Tu, Bin Cui:
A Unified Framework for Mining Batch and Periodic Batch in Data Streams. 5544-5561 - Yipeng Liu, Jie Chen, Yingcong Lu, Weiting Ou, Zhen Long, Ce Zhu:
Adaptively Topological Tensor Network for Multi-View Subspace Clustering. 5562-5575 - Fan Li, Zhiyu Xu, Dawei Cheng, Xiaoyang Wang:
AdaRisk: Risk-Adaptive Deep Reinforcement Learning for Vulnerable Nodes Detection. 5576-5590 - Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang:
Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks. 5591-5604 - Qinliang Su, Bowen Tian, Hai Wan, Jian Yin:
Anomaly Detection Under Contaminated Data With Contamination-Immune Bidirectional GANs. 5605-5620 - Huimin Zhang, Xingchen Hu, Xiubin Zhu, Xinwang Liu, Witold Pedrycz:
Application of Gradient Boosting in the Design of Fuzzy Rule-Based Regression Models. 5621-5632 - Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammut, Lina Yao:
Attention-Aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. 5633-5646 - Chunnan Wang, Hongzhi Wang, Junzhe Wang, Guosheng Feng:
AutoSR: Automatic Sequential Recommendation System Design. 5647-5660 - Haiyan Zhang, Xinghua Li, Mengfan Xu, Ximeng Liu, Tong Wu, Jian Weng, Robert H. Deng:
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective. 5661-5674 - Xiaojun Yang, Tuoji Zhu, Danyang Wu, Penglei Wang, Yujia Liu, Feiping Nie:
Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering. 5675-5680 - Zhi Zheng, Xiao Hu, Zhaopeng Qiu, Yuan Cheng, Shanshan Gao, Yang Song, Hengshu Zhu, Hui Xiong:
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment. 5681-5694 - Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang:
Bi-Level Graph Structure Learning for Next POI Recommendation. 5695-5708 - Zheng Xing, Weibing Zhao:
Block-Diagonal Guided DBSCAN Clustering. 5709-5722 - Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang:
Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection. 5723-5736 - Qiaomu Shen, Chaozu Zhang, Xiao Yan, Chuan Yang, Dan Zeng, Wei Zeng, Bo Tang:
$\mathsf {CheetahTraj}$CheetahTraj: Efficient Visualization for Large Trajectory Dataset With Quality Guarantee. 5737-5752 - Weilong Chen, Shaoliang Zhang, Ruobing Xie, Feng Xia, Leyu Lin, Xinran Zhang, Yan Wang, Yanru Zhang:
CIPPO: Contrastive Imitation Proximal Policy Optimization for Recommendation Based on Reinforcement Learning. 5753-5767 - Ying Pang, Haibo Zhang, Jeremiah D. Deng, Lizhi Peng, Fei Teng:
Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach. 5768-5783 - Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu:
Concept Factorization Based Multiview Clustering for Large-Scale Data. 5784-5796 - Wenbin Qian, Yihui Li, Qianzhi Ye, Shuyin Xia, Jintao Huang, Weiping Ding:
Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity. 5797-5810 - Elena Simona Apostol, Ciprian-Octavian Truica, Adrian Paschke:
ContCommRTD: A Distributed Content-Based Misinformation-Aware Community Detection System for Real-Time Disaster Reporting. 5811-5822 - Haoyang Luo, Zheng Zhang, Liqiang Nie:
Contrastive Incomplete Cross-Modal Hashing. 5823-5834 - Qingpeng Wu, Zheng Zhang, Yishu Liu, Jingyi Zhang, Liqiang Nie:
Contrastive Multi-Bit Collaborative Learning for Deep Cross-Modal Hashing. 5835-5848 - Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin:
Counter-Empirical Attacking Based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. 5849-5859 - Rui Cai, Jianfeng Dong, Tianxiang Liang, Yonghui Liang, Yabing Wang, Xun Yang, Xun Wang, Meng Wang:
Cross-Lingual Cross-Modal Retrieval With Noise-Robust Fine-Tuning. 5860-5873 - Yixin Song, Lihua Zhou, Peizhong Yang, Jialong Wang, Lizhen Wang:
CS-DAHIN: Community Search Over Dynamic Attribute Heterogeneous Network. 5874-5888 - Xianzhi Zeng, Shuhao Zhang:
CStream: Parallel Data Stream Compression on Multicore Edge Devices. 5889-5904 - Kai Siong Yow, Chunbo Li:
D&A: Resource Optimization in Personalized PageRank Computations Using Multi-Core Machines. 5905-5910 - Conggai Li, Wei Ni, Ming Ding, Youyang Qu, Jianjun Chen, David B. Smith, Wenjie Zhang, Thierry Rakotoarivelo:
Decentralized Privacy Preservation for Critical Connections in Graphs. 5911-5925 - Yadong Huo, Qibing Qin, Wenfeng Zhang, Lei Huang, Jie Nie:
Deep Hierarchy-Aware Proxy Hashing With Self-Paced Learning for Cross-Modal Retrieval. 5926-5939 - Fei Ma, Ping Wang:
Determining Mean First-Passage Time for Random Walks on Stochastic Uniform Growth Tree Networks. 5940-5953 - Deming Chu, Fan Zhang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Yinglong Xia, Chenyi Zhang:
Discovering and Maintaining the Best $k$k in Core Decomposition. 5954-5971 - Chaoyu Gong, Jim Demmel, Yang You:
Distributed and Joint Evidential K-Nearest Neighbor Classification. 5972-5985 - Ranran Wang, Yin Zhang, Wenchao Wan, Min Chen, Mohsen Guizani:
Distributed Rumor Source Detection via Boosted Federated Learning. 5986-6001 - Yi Zhang, Yiwen Zhang, Yuchuan Zhao, Shuiguang Deng, Yun Yang:
Dual Variational Graph Reconstruction Learning for Social Recommendation. 6002-6015 - Ming Zhou, Jie Lu, Pengqian Lu, Guangquan Zhang:
Dynamic Graph Regularization for Multi-Stream Concept Drift Self-Adaptation. 6016-6028 - Yangyang Wu, Xiaoye Miao, Zi-ang Nan, Jinshan Zhang, Jianhu He, Jianwei Yin:
Effective and Efficient Multi-View Imputation With Optimal Transport. 6029-6041 - Jinlu Liu, Jing Qin, Xi Zhang, Huaxiong Wang:
Efficient Key-Aggregate Cryptosystem With User Revocation for Selective Group Data Sharing in Cloud Storage. 6042-6055 - Dingming Wu, Zhaofen Zhang, Christian S. Jensen, Kezhong Lu:
Efficient Skyline Keyword-Based Tree Retrieval on Attributed Graphs. 6056-6070 - Jiatong Li, Yunqing Liu, Wenqi Fan, Xiao-Yong Wei, Hui Liu, Jiliang Tang, Qing Li:
Empowering Molecule Discovery for Molecule-Caption Translation With Large Language Models: A ChatGPT Perspective. 6071-6083 - Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng:
EPS$^{2}$2: Privacy Preserving Set-Valued Data Analysis in the Shuffle Model. 6084-6098 - Rahmat Adesunkanmi, Ratnesh Kumar:
Expectation Distance-Based Distributional Clustering for Noise-Robustness. 6099-6110 - Jingping Liu, Tao Chen, Hao Guo, Chao Wang, Haiyun Jiang, Yanghua Xiao, Xiang Xu, Baohua Wu:
Exploiting Duality in Aspect Sentiment Triplet Extraction With Sequential Prompting. 6111-6123 - Guojie Li, Zhiwen Yu, Kaixiang Yang, Mianfen Lin, C. L. Philip Chen:
Exploring Feature Selection With Limited Labels: A Comprehensive Survey of Semi-Supervised and Unsupervised Approaches. 6124-6144 - Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Exploring Flat Minima for Domain Generalization With Large Learning Rates. 6145-6158 - James Jie Pan, Guoliang Li:
Fast and Scalable Ridesharing Search. 6159-6170 - Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu, Xinzhong Zhu:
Fast Approximated Multiple Kernel K-Means. 6171-6180 - Zhiqiang Zhang, Dandan Zhang, Yun Wang:
Fast Long Sequence Time-Series Forecasting for Edge Service Running State Based on Data Drift and Non-Stationarity. 6181-6194 - Juanying Xie, Mingzhao Wang, Philip W. Grant, Witold Pedrycz:
Feature Selection With Discernibility and Independence Criteria. 6195-6209 - Yu Guo, Yuxin Xi, Haodi Wang, Mingyue Wang, Cong Wang, Xiaohua Jia:
FedEDB: Building a Federated and Encrypted Data Store via Consortium Blockchains. 6210-6224 - Jun Li, Yi Bin, Liang Peng, Yang Yang, Yangyang Li, Hao Jin, Zi Huang:
Focusing on Relevant Responses for Multi-Modal Rumor Detection. 6225-6236 - Xingtong Yu, Zhenghao Liu, Yuan Fang, Zemin Liu, Sihong Chen, Xinming Zhang:
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs. 6237-6250 - Zhao Chang, Feifei Li, Yulong Shen:
Generalized Measure-Biased Sampling and Priority Sampling. 6251-6265 - Xin Jiang, Hao Tang, Zechao Li:
Global Meets Local: Dual Activation Hashing Network for Large-Scale Fine-Grained Image Retrieval. 6266-6279 - Yibi Chen, Kenli Li, Chai Kiat Yeo, Keqin Li:
Global-Local Feature Learning via Dynamic Spatial-Temporal Graph Neural Network in Meteorological Prediction. 6280-6292 - Shuyin Xia, Xiaoyu Lian, Guoyin Wang, Xinbo Gao, Qinghua Hu, Yabin Shao:
Granular-Ball Fuzzy Set and Its Implement in SVM. 6293-6304 - Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li:
Graph Contrastive Learning With Personalized Augmentation. 6305-6316 - Bin Lu, Ze Zhao, Xiaoying Gan, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou:
Graph Out-of-Distribution Generalization With Controllable Data Augmentation. 6317-6329 - Xu Shen, Pietro Liò, Lintao Yang, Ru Yuan, Yuyang Zhang, Chengbin Peng:
Graph Rewiring and Preprocessing for Graph Neural Networks Based on Effective Resistance. 6330-6343 - Haibo Wang, Chuan Zhou, Xin Chen, Jia Wu, Shirui Pan, Zhao Li, Jilong Wang, Philip S. Yu:
Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks. 6344-6357 - Ling Yang, Zhilin Huang, Zhilong Zhang, Zhongyi Liu, Shenda Hong, Wentao Zhang, Wenming Yang, Bin Cui, Luxia Zhang:
Graphusion: Latent Diffusion for Graph Generation. 6358-6369 - Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock:
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. 6370-6384 - Jiaqi Li, Yuanhao Lai, Rui Wang, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou:
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning. 6385-6396 - Jiang Liu, Hao Fei, Fei Li, Jingye Li, Bobo Li, Liang Zhao, Chong Teng, Donghong Ji:
TKDP: Threefold Knowledge-Enriched Deep Prompt Tuning for Few-Shot Named Entity Recognition. 6397-6409 - Chao Zhang, Guoliang Li, Jintao Zhang, Xinning Zhang, Jianhua Feng:
HTAP Databases: A Survey. 6410-6429 - Xinjie Zhou, Kai Huang, Lei Li, Mengxuan Zhang, Xiaofang Zhou:
I/O-Efficient Multi-Criteria Shortest Paths Query Processing on Large Graphs. 6430-6446 - Lingzhi Wang, Shafiq Joty, Wei Gao, Xingshan Zeng, Kam-Fai Wong:
Improving Conversational Recommender System Via Contextual and Time-Aware Modeling With Less Domain-Specific Knowledge. 6447-6461 - Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Shenghua Liu:
Interrelated Dense Pattern Detection in Multilayer Networks. 6462-6476 - Feifei Shao, Yawei Luo, Fei Gao, Yi Yang, Jun Xiao:
Knowledge-Guided Causal Intervention for Weakly-Supervised Object Localization. 6477-6489 - Xinyu Chen, Zhanhong Cheng, HanQin Cai, Nicolas Saunier, Lijun Sun:
Laplacian Convolutional Representation for Traffic Time Series Imputation. 6490-6502 - Hao Yang, Youzhi Jin, Ziyin Li, Deng-Bao Wang, Xin Geng, Min-Ling Zhang:
Learning From Noisy Labels via Dynamic Loss Thresholding. 6503-6516 - Kun Xie, Xiangyu Dong, Yusong Zhang, Xingyi Zhang, Qintian Guo, Sibo Wang:
Learning-Based Attribute-Augmented Proximity Matrix Factorization for Attributed Network Embedding. 6517-6531 - Hanbing Zhang, Yinan Jing, Zhenying He, Kai Zhang, X. Sean Wang:
Learning-Based Sample Tuning for Approximate Query Processing in Interactive Data Exploration. 6532-6546 - Zixuan Yuan, Junming Liu, Haoyi Zhou, Denghui Zhang, Hao Liu, Nengjun Zhu, Hui Xiong:
LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading. 6547-6559 - Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan:
MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes. 6560-6573 - Tonglong Wei, Youfang Lin, Yan Lin, Shengnan Guo, Lan Zhang, Huaiyu Wan:
Micro-Macro Spatial-Temporal Graph-Based Encoder-Decoder for Map-Constrained Trajectory Recovery. 6574-6587 - Zixun Lan, Binjie Hong, Ye Ma, Fei Ma:
More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference. 6588-6599 - Shuai Han, Xianmin Liu, Jianzhong Li:
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing. 6600-6613 - Eric Ye, Xiao Bai, Neil O'Hare, Eliyar Asgarieh, Kapil Thadani, Francisco Perez-Sorrosal, Sujyothi Adiga:
Multilingual Taxonomic Web Page Categorization Through Ensemble Knowledge Distillation. 6614-6627 - Ning Xu, Yifei Gao, An-An Liu, Hongshuo Tian, Yongdong Zhang:
Multi-Modal Validation and Domain Interaction Learning for Knowledge-Based Visual Question Answering. 6628-6640 - Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Xinhang Wan, Xinwang Liu:
Multiple Kernel Clustering With Adaptive Multi-Scale Partition Selection. 6641-6652 - Dong Li, Shuisheng Zhou, Tieyong Zeng, Raymond H. Chan:
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm. 6653-6666 - Kaiwen Yan, Chen Long, Huisi Wu, Zhenkun Wen:
Multi-Resolution Expansion of Analysis in Time-Frequency Domain for Time Series Forecasting. 6667-6680 - Zhiqing Hong, Guang Wang, Wenjun Lyu, Baoshen Guo, Yi Ding, Haotian Wang, Shuai Wang, Yunhuai Liu, Desheng Zhang:
Nationwide Behavior-Aware Coordinates Mining From Uncertain Delivery Events. 6681-6698 - Weixu Zhang, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, Haiqin Yang:
Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey. 6699-6718 - Zhan ao Huang, Yongsheng Sang, Yanan Sun, Jiancheng Lv:
Neural Networks Learn Specified Information for Imbalanced Data Classification. 6719-6730 - Shizhe Ding, Boyang Xia, Milong Ren, Dongbo Bu:
NIERT: Accurate Numerical Interpolation Through Unifying Scattered Data Representations Using Transformer Encoder. 6731-6744 - Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa:
O(1)-Time Complexity for Fixed Sliding-Window Aggregation Over Out-of-Order Data Streams. 6745-6757 - Ziqiang Yu, Xiaohui Yu, Tao Zhou, Yueting Chen, Yang Liu, Bohan Li:
ODIN: Object Density Aware Index for C$k$kNN Queries Over Moving Objects on Road Networks. 6758-6772 - Huijia Li, Haobin Cao, Yuhao Feng, Xiaoyan Li, Jian Pei:
Optimization of Graph Clustering Inspired by Dynamic Belief Systems. 6773-6785 - Yujian Fu, Cheng Chen, Xiaohui Chen, Weng-Fai Wong, Bingsheng He:
Optimizing the Number of Clusters for Billion-Scale Quantization-Based Nearest Neighbor Search. 6786-6800 - Qiang Liu, Junfei Wu, Shu Wu, Liang Wang:
Out-of-Distribution Evidence-Aware Fake News Detection via Dual Adversarial Debiasing. 6801-6813 - Thibaut Germain, Charles Truong, Laurent Oudre:
Persistence-Based Motif Discovery in Time Series. 6814-6827 - Peng Bao, Rong Yan, Caipiao Yang:
Popularity Prediction via Modeling Temporal Dependencies on Dynamic Evolution Process. 6828-6838 - Thilina Ranbaduge, Dinusha Vatsalan, Ming Ding:
Privacy-Preserving Deep Learning Based Record Linkage. 6839-6850 - Hao Xue, Flora D. Salim:
PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting. 6851-6864 - Chen Zhang, Yu Xie, Tingbin Chen, Wenjie Mao, Bin Yu:
Prototype Similarity Distillation for Communication-Efficient Federated Unsupervised Representation Learning. 6865-6876 - Haonan Chen, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
Query-Oriented Data Augmentation for Session Search. 6877-6888 - Zihuai Zhao, Wenqi Fan, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, Qing Li:
Recommender Systems in the Era of Large Language Models (LLMs). 6889-6907 - Guoliang Lin, Yongheng Xu, Hanjiang Lai, Jian Yin:
Revisiting Few-Shot Learning From a Causal Perspective. 6908-6919 - Hanjie Li, Changsheng Li, Kaituo Feng, Ye Yuan, Guoren Wang, Hongyuan Zha:
Robust Knowledge Adaptation for Dynamic Graph Neural Networks. 6920-6933 - Cheng Liang, Daoyuan Wang, Huaxiang Zhang, Shichao Zhang, Fei Guo:
Robust Tensor Subspace Learning for Incomplete Multi-View Clustering. 6934-6948 - James Jianqiao Yu:
Scalable and Sustainable Graph-Based Traffic Prediction With Adaptive Deep Learning. 6949-6961 - Yaoxian Song, Penglei Sun, Haoyu Liu, Zhixu Li, Wei Song, Yanghua Xiao, Xiaofang Zhou:
Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI. 6962-6976 - Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang:
Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer. 6977-6988 - Kamal Berahmand, Sondos Bahadori, Maryam Nooraei Abadeh, Yuefeng Li, Yue Xu:
SDAC-DA: Semi-Supervised Deep Attributed Clustering Using Dual Autoencoder. 6989-7002 - Rong-Cheng Tu, Xian-Ling Mao, Jinyu Liu, Yatai Ji, Wei Wei, Heyan Huang:
Similarity Transitivity Broken-Aware Multi-Modal Hashing. 7003-7014 - Runze Lei, Pinghui Wang, Rundong Li, Peng Jia, Junzhou Zhao, Xiaohong Guan:
Sketching Data Distribution by Rotation. 7015-7029 - Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks. 7030-7043 - Jiawei Yang, Susanto Rahardja, Pasi Fränti:
Smoothing Outlier Scores Is All You Need to Improve Outlier Detectors. 7044-7057 - Jiaxin Jiang, Yuhang Chen, Bingsheng He, Min Chen, Jia Chen:
Spade+: A Generic Real-Time Fraud Detection Framework on Dynamic Graphs. 7058-7073 - Yu Wang, Tongya Zheng, Shunyu Liu, Zunlei Feng, Kai-Xuan Chen, Yunzhi Hao, Mingli Song:
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation. 7074-7086 - Wen Zhang, Yajing Xu, Peng Ye, Zhiwei Huang, Zezhong Xu, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen:
Start From Zero: Triple Set Prediction for Automatic Knowledge Graph Completion. 7087-7101 - Aimin Sun, Zhiguo Gong:
Temporal Graph Multi-Aspect Embeddings. 7102-7114 - Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Yu Zhao, Deqing Wang, Hongwei Zheng:
Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement. 7115-7128 - Lu Han, Han-Jia Ye, De-Chuan Zhan:
The Capacity and Robustness Trade-Off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting. 7129-7142 - Evangelia Tsoukanara, Georgia Koloniari, Evaggelia Pitoura, Peter Triantafillou:
The GraphTempo Framework for Exploring the Evolution of a Graph Through Pattern Aggregation. 7143-7156 - Surong Yan, Kwei-Jay Lin, Haosen Wang:
Toward Lightweight End-to-End Semantic Learning of Real-Time Human Activity Recognition for Enabling Ambient Intelligence. 7157-7170 - Yakun Li, Lei Hou, Juanzi Li:
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph. 7171-7187 - Zhenguo Yang, Jiajie Lin, Zhiwei Guo, Yang Li, Xiaoping Li, Qing Li, Wenyin Liu:
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark. 7188-7200 - Yuan Xie, Fan Wu, Xu Zhou, Wensheng Luo, Yifang Yin, Roger Zimmermann, Keqin Li, Kenli Li:
Trajectory-Aware Task Coalition Assignment in Spatial Crowdsourcing. 7201-7216 - Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang:
Transductive Reward Inference on Graph. 7217-7228 - Guorui Li, Pengfei Xu, Sancheng Peng, Cong Wang, Yi Cai, Shui Yu:
TTSR: Tensor-Train Subspace Representation Method for Visual Domain Adaptation. 7229-7241 - Zengzhi Wang, Rui Xia, Jianfei Yu:
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning. 7242-7254 - Yuyang Ye, Hengshu Zhu, Tianyi Cui, Runlong Yu, Le Zhang, Hui Xiong:
University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach. 7255-7267 - Jiannan Guo, Yangyang Kang, Xiaolin Li, Wenqiao Zhang, Kun Kuang, Changlong Sun, Siliang Tang, Fei Wu:
Unleash the Power of Inconsistency-Based Semi-Supervised Active Learning by Dynamic Programming of Curriculum Learning. 7268-7282 - Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Unsupervised Domain-Agnostic Fake News Detection Using Multi-Modal Weak Signals. 7283-7295 - Han Zhao, Xu Yang, Kun Wei, Cheng Deng, Dacheng Tao:
Unsupervised Graph Transformer With Augmentation-Free Contrastive Learning. 7296-7307 - Chang-Qin Huang, Qionghao Huang, Xiaodi Huang, Hua Wang, Ming Li, Kwei-Jay Lin, Yi Chang:
XKT: Toward Explainable Knowledge Tracing Model With Cognitive Learning Theories for Questions of Multiple Knowledge Concepts. 7308-7325 - Kehua Yuan, Duoqian Miao, Witold Pedrycz, Weiping Ding, Hongyun Zhang:
Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery. 7326-7339
Volume 36, Number 12, December 2024
- Zhikai Wang, Yanyan Shen:
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation. 7340-7352 - Ziyu Li, Wenbo Sun, Danning Zhan, Yan Kang, Lydia Yiyu Chen, Alessandro Bozzon, Rihan Hai:
Amalur: The Convergence of Data Integration and Machine Learning. 7353-7367 - Shubha Guha, Falaah Arif Khan, Julia Stoyanovich, Sebastian Schelter:
Automated Data Cleaning can Hurt Fairness in Machine Learning-Based Decision Making. 7368-7379 - Bernardo Breve, Loredana Caruccio, Stefano Cirillo, Vincenzo Deufemia, Giuseppe Polese:
Decentralized and Incremental Discovery of Relaxed Functional Dependencies Using Bitwise Similarity. 7380-7398 - Viktor Sanca, Anastasia Ailamaki:
Efficient Model-Relational Data Management: Challenges and Opportunities. 7399-7409 - Tarikul Islam Papon, Ju Hyoung Mun, Konstantinos Karatsenidis, Shahin Roozkhosh, Denis Hoornaert, Ahmed Sanaullah, Ulrich Drepper, Renato Mancuso, Manos Athanassoulis:
Effortless Locality on Data Systems Using Relational Fabric. 7410-7422 - Bingxue Zhang, Gang Chen, Beng Chin Ooi, Mike Zheng Shou, Kian-Lee Tan, Anthony K. H. Tung, Xiaokui Xiao, James Wei Luen Yip, Meihui Zhang:
Managing Metaverse Data Tsunami: Actionable Insights. 7423-7441 - Weiyan Zhang, Jiacheng Wang, Chuang Chen, Wanpeng Lu, Wen Du, Haofen Wang, Jingping Liu, Tong Ruan:
A Bidirectional Extraction-Then-Evaluation Framework for Complex Relation Extraction. 7442-7454 - Yixiu Guo, Yong Li, Sisi Zhou, Zhenyu Zhang, Zuyi Li, Mohammad Shahidehpour:
A Data-Driven Three-Stage Adaptive Pattern Mining Approach for Multi-Energy Loads. 7455-7467 - Qian Li, Yunpeng Xiao, Xinming Zhou, Rong Wang, Sirui Duan, Xiang Yu:
A Derivative Topic Dissemination Model Based on Representation Learning and Topic Relevance. 7468-7482 - Huijuan Zhu, Xilong Chen, Liangmin Wang, Zhicheng Xu, Victor S. Sheng:
A Dynamic Analysis-Powered Explanation Framework for Malware Detection. 7483-7496 - Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr:
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. 7497-7515 - Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan:
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. 7516-7535 - Qianli Ma, Zhen Liu, Zhenjing Zheng, Ziyang Huang, Siying Zhu, Zhongzhong Yu, James T. Kwok:
A Survey on Time-Series Pre-Trained Models. 7536-7555 - Xueqi Li, Guoqing Xiao, Yuedan Chen, Kenli Li, Gao Cong:
Accurate and Scalable Graph Convolutional Networks for Recommendation Based on Subgraph Propagation. 7556-7568 - Huimin Wang, Yunyan Zhang, Yifan Yang, Yefeng Zheng, Kam-Fai Wong:
Acquiring New Knowledge Without Losing Old Ones for Effective Continual Dialogue Policy Learning. 7569-7584 - Fan Yun, Zhiwen Yu, Kaixiang Yang, C. L. Philip Chen:
AdaBoost-Stacking Based on Incremental Broad Learning System. 7585-7599 - Ziwei Zhao, Yu Yang, Zikai Yin, Tong Xu, Xi Zhu, Fake Lin, Xueying Li, Enhong Chen:
Adversarial Attack and Defense on Discrete Time Dynamic Graphs. 7600-7611 - Bolong Zheng, Lingfeng Ming, Kai Zeng, Mengtao Zhou, Xinyong Zhang, Tao Ye, Bin Yang, Xiaofang Zhou, Christian S. Jensen:
Adversarial Graph Neural Network for Multivariate Time Series Anomaly Detection. 7612-7626 - Xinyin Zhang, Ran Wang, Shuyue Chen, Yuheng Jia, Debby Dan Wang:
AME-LSIFT: Attention-Aware Multi-Label Ensemble With Label Subset-SpecIfic FeaTures. 7627-7642 - Zihua Zhao, Feiping Nie, Rong Wang, Zheng Wang, Xuelong Li:
An Balanced, and Scalable Graph-Based Multiview Clustering Method. 7643-7656 - Yang Wu, Xuanhe Zhou, Yong Zhang, Guoliang Li:
Automatic Index Tuning: A Survey. 7657-7676 - Shiding Zhang, Jianye Yang, Wenjie Zhang, Shiyu Yang, Ying Zhang, Xuemin Lin:
BigSet: An Efficient Set Intersection Approach. 7677-7691 - Bay-Yuan Hsu, Chia-Hsun Lu, Ming-Yi Chang, Chih-Ying Tseng, Chih-Ya Shen:
Budget-Constrained Ego Network Extraction With Maximized Willingness. 7692-7707 - Weiping Ding, Xiaotian Cheng, Yu Geng, Jiashuang Huang, Hengrong Ju:
C2F-Explainer: Explaining Transformers Better Through a Coarse-to-Fine Strategy. 7708-7724 - Fuyuan Cao, Yunxia Wang, Kui Yu, Jiye Liang:
Causal Discovery From Unknown Interventional Datasets Over Overlapping Variable Sets. 7725-7742 - Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation. 7743-7756 - Ranjani Niranjan, Sachit Rao:
Classification With Trust: A Supervised Approach Based on Sequential Ellipsoidal Partitioning. 7757-7771 - Haowen Dong, Chao Zhang, Guoliang Li, Huanchen Zhang:
Cloud-Native Databases: A Survey. 7772-7791 - Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Vincent T'kindt:
Comparison Queries Generation Using Mathematical Programming for Exploratory Data Analysis. 7792-7804 - Li Yang, Zhipeng Luo, Shiming Zhang, Fei Teng, Tianrui Li:
Continual Learning for Smart City: A Survey. 7805-7824 - Xiangxiang Dai, Zhiyong Wang, Jize Xie, Xutong Liu, John C. S. Lui:
Conversational Recommendation With Online Learning and Clustering on Misspecified Users. 7825-7838 - Zhong Li, Sheng Liang, Jiayang Shi, Matthijs van Leeuwen:
Cross-Domain Graph Level Anomaly Detection. 7839-7850 - Mang Ye, Yi Yu, Ziqin Shen, Wei Yu, Qingyan Zeng:
Cross-Feature Interactive Tabular Data Modeling With Multiplex Graph Neural Networks. 7851-7864 - Yujie Li, Xin Yang, Qiang Gao, Hao Wang, Junbo Zhang, Tianrui Li:
Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer. 7865-7877 - Bin Liu, Qin Luo, Bang Wang:
Debiased Pairwise Learning for Implicit Collaborative Filtering. 7878-7892 - Peilun Yang, Hanchen Wang, Jianye Yang, Zhengping Qian, Ying Zhang, Xuemin Lin:
Deep Learning Approaches for Similarity Computation: A Survey. 7893-7912 - Tanmoy Chowdhury, Yuyang Gao, Liang Zhao:
Deep Multi-Task Learning for Spatio-Temporal Incomplete Qualitative Event Forecasting. 7913-7926 - Xin Zhang, Zengmao Wang, Bo Du, Jia Wu, Xiao Zhang, Erli Meng:
Deep Session Heterogeneity-Aware Network for Click Through Rate Prediction. 7927-7939 - Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiheng Huang, Chenyang Xiang, Yuqing Bai, Huaiyu Wan:
Diff-RNTraj: A Structure-Aware Diffusion Model for Road Network-Constrained Trajectory Generation. 7940-7953 - Hongyang Chen, Can Xu, Lingyu Zheng, Qiang Zhang, Xuemin Lin:
Diffusion-Based Graph Generative Methods. 7954-7972 - Yang Liu, Chang Xu, Min Hou, Weiqing Liu, Jiang Bian, Qi Liu, Tie-Yan Liu:
Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction. 7973-7985 - Simone Piaggesi, Megha Khosla, André Panisson, Avishek Anand:
DINE: Dimensional Interpretability of Node Embeddings. 7986-7997 - Fang Wu, Siyuan Li, Stan Z. Li:
Discovering the Representation Bottleneck of Graph Neural Networks. 7998-8008 - Rongqing Li, Jiaqi Yu, Changsheng Li, Wenhan Luo, Ye Yuan, Guoren Wang:
DREAM: Domain-Agnostic Reverse Engineering Attributes of Black-Box Model. 8009-8022 - Husheng Guo, Yang Zhang, Wenjian Wang:
Dynamical Targeted Ensemble Learning for Streaming Data With Concept Drift. 8023-8036 - Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation. 8037-8050 - Qianxin Yi, Yiyang Yang, Shaojie Tang, Jiapeng Liu, Yao Wang:
Effective Generalized Low-Rank Tensor Contextual Bandits. 8051-8065 - Aoting Zeng, Liping Wang, Wenjie Zhang, Xuemin Lin:
Efficient and Effective Augmentation Framework With Latent Mixup and Label-Guided Contrastive Learning for Graph Classification. 8066-8078 - Yuxiang Wang, Yuxiang Zeng, Shuyuan Li, Yuanyuan Zhang, Zimu Zhou, Yongxin Tong:
Efficient and Private Federated Trajectory Matching. 8079-8092 - Jun Hu, Bryan Hooi, Bingsheng He:
Efficient Heterogeneous Graph Learning via Random Projection. 8093-8107 - Davide Napolitano, Lorenzo Vaiani, Luca Cagliero:
Efficient Neural Network-Based Estimation of Interval Shapley Values. 8108-8119 - Ziyang Liu, Chaokun Wang, Hao Feng, Ziyang Chen:
Efficient Unsupervised Graph Embedding With Attributed Graph Reduction and Dual-Level Loss. 8120-8134 - Wenqi Yang, Chang Tang, Xiao Zheng, Xinzhong Zhu, Xinwang Liu:
Eigenvalue Ratio Inspired Partition Learning and Fusion for Multiple Kernel Clustering. 8135-8147 - Ningning Cui, Dong Wang, Huaijie Zhu, Jianxin Li, Jianliang Xu, Xiaochun Yang:
Enabling Verifiable and Secure Range Query in Multi-User Setting Under Cloud Environments. 8148-8163 - Chuang Zhao, Hongke Zhao, Xiaofang Zhou, Xiaomeng Li:
Enhancing Precision Drug Recommendations via In-Depth Exploration of Motif Relationships. 8164-8178 - Yuze Tan, Yixi Liu, Hongjie Wu, Shudong Huang, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv:
Euclidean Distance is Not Your Swiss Army Knife. 8179-8191 - Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation. 8192-8205 - Lingyuan Meng, Ke Liang, Hao Yu, Yue Liu, Sihang Zhou, Meng Liu, Xinwang Liu:
FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning. 8206-8219 - Sheng Shen, Chi Liu, Teng Joon Lim:
Federated Learning With Heterogeneous Client Expectations: A Game Theory Approach. 8220-8237 - Youming Liu, Lin Shu, Chuan Chen, Zibin Zheng:
Fine-Grained Semantics Enhanced Contrastive Learning for Graphs. 8238-8250 - Shangzhe Li, Yingke Liu, Xueyuan Chen, Junran Wu, Ke Xu:
Forecasting Turning Points in Stock Price by Integrating Chart Similarity and Multipersistence. 8251-8266 - Lingling Zhang, Yifei Li, Qianying Wang, Yun Wang, Hang Yan, Jiaxin Wang, Jun Liu:
FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction. 8267-8282 - Tianjun Wei, Tommy W. S. Chow, Jianghong Ma:
FPSR+: Toward Robust, Efficient, and Scalable Collaborative Filtering With Partition-Aware Item Similarity Modeling. 8283-8296 - Yingcheng Huang, Fuyuan Xiao, Zehong Cao, Chin-Teng Lin:
Fractal Belief Rényi Divergence With its Applications in Pattern Classification. 8297-8312 - Xiaotian Zhou, Haoxin Sun, Wanyue Xu, Wei Li, Zhongzhi Zhang:
Friedkin-Johnsen Model for Opinion Dynamics on Signed Graphs. 8313-8327 - Yipeng Zhang, Zhifeng Bao, Yuchen Li, Baihua Zheng, Xiaoli Wang:
From a Timeline Contact Graph to Close Contact Tracing and Infection Diffusion Intervention. 8328-8340 - Borui Cai, Yong Xiang, Longxiang Gao, Di Wu, He Zhang, Jiong Jin, Tom H. Luan:
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding. 8341-8348 - Mengyuan Li, Xiaohong Zhang, Jiaoyan Shang, Yingcang Ma:
General Quasi Overlap Functions and Fuzzy Neighborhood Systems-Based Fuzzy Rough Sets With Their Applications. 8349-8361 - Xuan Pan, Xiangrui Cai, Sihan Xu, Ying Zhang, Peng Nie, Xiaojie Yuan:
GeoCo: Geographical Correlation Enhanced Network for POI Recommendation. 8362-8376 - Yehong Xu, Lei Li, Mengxuan Zhang, Zizhuo Xu, Xiaofang Zhou:
Global Optimal Travel Planning for Massive Travel Queries in Road Networks. 8377-8394 - Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Xuhao Zhao, Bo Li, Jiadi Yu, Feilong Tang:
Graph Diffusion-Based Representation Learning for Sequential Recommendation. 8395-8407 - Jie Bai, Kang Zhao, Linjing Li, Daniel Dajun Zeng, Qiudan Li, Fan Yang, Quannan Zu:
Graph Representation Learning Based on Cognitive Spreading Activations. 8408-8420 - Peiyao Liu, Junpeng Lin, Chen Zhang:
Heterogeneous Multivariate Functional Time Series Modeling: A State Space Approach. 8421-8433 - Zhipeng Luo, Qiang Gao, Yazhou He, Hongjun Wang, Milos Hauskrecht, Tianrui Li:
Hierarchical Active Learning With Label Proportions on Data Regions. 8434-8446 - Na Wang, Shuxi Xu, Chuan Qin, Sian-Jheng Lin, Shuo Shao, Yunghsiang S. Han:
High-Capacity Framework for Reversible Data Hiding Using Asymmetric Numeral Systems. 8447-8461 - Weijian Chen, Yixin Cao, Fuli Feng, Xiangnan He, Yongdong Zhang:
HoGRN: Explainable Sparse Knowledge Graph Completion via High-Order Graph Reasoning Network. 8462-8475 - Tianao Sun, Kai Zhao, Meng Chen:
Human-AI Interaction: Human Behavior Routineness Shapes AI Performance. 8476-8487 - Yonghui Yang, Le Wu, Kun Zhang, Richang Hong, Hailin Zhou, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Hyperbolic Graph Learning for Social Recommendation. 8488-8501 - Junfeng Zhang, Weixin Zeng, Jiuyang Tang, Xiang Zhao:
Hyperedge Graph Contrastive Learning. 8502-8514 - Tianxiang Zhao, Xiang Zhang, Suhang Wang:
Imbalanced Node Classification With Synthetic Over-Sampling. 8515-8528 - Feng Wu, Guoshuai Zhao, Tengjiao Li, Jialie Shen, Xueming Qian:
Improving Conversational Recommendation System Through Personalized Preference Modeling and Knowledge Graph. 8529-8540 - Zhangtao Cheng, Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Philip S. Yu:
Information Cascade Popularity Prediction via Probabilistic Diffusion. 8541-8555 - Qingqiang Sun, Kai Wang, Wenjie Zhang, Peng Cheng, Xuemin Lin:
Interdependence-Adaptive Mutual Information Maximization for Graph Contrastive Learning. 8556-8567 - Liuyi Yao, Zhen Wang, Yuexiang Xie, Yaliang Li, Weirui Kuang, Daoyuan Chen, Bolin Ding:
Is Sharing Neighbor Generator in Federated Graph Learning Safe? 8568-8579 - Yi Zhu, Shuqin Wang, Jipeng Qiang, Xindong Wu:
Iterative Soft Prompt-Tuning for Unsupervised Domain Adaptation. 8580-8592 - Zhongyun Zhang, Lei Yang, Jiajun Yao, Chao Ma, Jianguo Wang:
Joint Optimization of Pricing, Dispatching and Repositioning in Ride-Hailing With Multiple Models Interplayed Reinforcement Learning. 8593-8606 - Haifa Gaza, Jaewook Byun:
Kairos: Enabling Prompt Monitoring of Information Diffusion Over Temporal Networks. 8607-8621 - Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han:
Large Language Models on Graphs: A Comprehensive Survey. 8622-8642 - Abdul Atif Khan, Mohammad Maksood Akhter, Rashmi Maheshwari, Sraban Kumar Mohanty:
L-ASCRA: A Linearithmic Time Approximate Spectral Clustering Algorithm Using Topologically-Preserved Representatives. 8643-8654 - Cheng Liu, Rui Li, Hangjun Che, Man-Fai Leung, Si Wu, Zhiwen Yu, Hau-San Wong:
Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering. 8655-8669 - Yao Cheng, Minjie Chen, Caihua Shan, Xiang Li:
Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks. 8670-8681 - Tengfei Ma, Yujie Chen, Wen Tao, Dashun Zheng, Xuan Lin, Patrick Cheong-Iao Pang, Yiping Liu, Yijun Wang, Longyue Wang, Bosheng Song, Xiangxiang Zeng, Philip S. Yu:
Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction. 8682-8694 - Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, Yan Zhao:
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation. 8695-8710 - Li Wan, Tansu Alpcan, Margreta Kuijper, Emanuele Viterbo:
Lightweight Conceptual Dictionary Learning for Text Classification Using Information Compression. 8711-8717 - Huanyu Zhang, Yifan Zhang, Zhang Zhang, Qingsong Wen, Liang Wang:
LogoRA: Local-Global Representation Alignment for Robust Time Series Classification. 8718-8729 - Haixin Wang, Xinlong Yang, Jinan Sun, Shikun Zhang, Chong Chen, XianSheng Hua, Xiao Luo:
Look Into Gradients: Learning Compact Hash Codes for Out-of-Distribution Retrieval. 8730-8743 - Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
Make Heterophilic Graphs Better Fit GNN: A Graph Rewiring Approach. 8744-8757 - Xiaolin Zheng, Weiming Liu, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan:
Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation. 8758-8772 - Xiaxia He, Boyue Wang, Junbin Gao, Qianqian Wang, Yongli Hu, Baocai Yin:
Mixed-Modality Clustering via Generative Graph Structure Matching. 8773-8786 - Jie Mu, Feiping Nie, Wei Wang, Jian Xu, Jing Zhang, Han Liu:
MOCOLNet: A Momentum Contrastive Learning Network for Multimodal Aspect-Level Sentiment Analysis. 8787-8800 - Xiao Zhang, Teng Shi, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation. 8801-8813 - Zihan Liao, Xiaodong Wu, Shuo Shang, Jun Wang, Wei Zhang:
Modeling Dynamic Item Tendency Bias in Sequential Recommendation With Causal Intervention. 8814-8828 - Haoran Yang, Yuhao Wang, Xiangyu Zhao, Hongxu Chen, Hongzhi Yin, Qing Li, Guandong Xu:
Multi-Level Graph Knowledge Contrastive Learning. 8829-8841 - Shuaiyang Li, Feng Xue, Kang Liu, Dan Guo, Richang Hong:
Multimodal Graph Causal Embedding for Multimedia-Based Recommendation. 8842-8858 - Dian Ouyang, Zhuoran Wang, Fan Zhang, Shiyu Yang, Jianye Yang, Xuemin Lin:
Multi-Source Shortest Path Query With Assembly Points on Large Graphs. 8859-8875 - Tian-Bao Li, An-An Liu, Dan Song, Wenhui Li, Jing Zhang, Zhiqiang Wei, Yu-Ting Su:
Multi-Task Spatial-Temporal Transformer for Multi-Variable Meteorological Forecasting. 8876-8888 - Yanran Zhu, Xiao He, Chang Tang, Xinwang Liu, Yuanyuan Liu, Kunlun He:
Multi-View Adaptive Fusion Network for Spatially Resolved Transcriptomics Data Clustering. 8889-8900 - Mengting Zhou, Zhiguo Gong:
Neighbor Distribution Learning for Minority Class Augmentation. 8901-8913 - Zhiwen Xie, Yi Zhang, Guangyou Zhou, Jin Liu, Xinhui Tu, Jimmy Xiangji Huang:
One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion. 8914-8927 - Zeyi Liu, Xiao He:
Online Dynamic Hybrid Broad Learning System for Real-Time Safety Assessment of Dynamic Systems. 8928-8938 - Xiangxiang Dai, Zhiyong Wang, Jize Xie, Tong Yu, John C. S. Lui:
Online Learning and Detecting Corrupted Users for Conversational Recommendation Systems. 8939-8953 - Guoliang He, Dawei Jin, Lifang Dai, Xin Xin, Zhiwen Yu, C. L. Philip Chen:
Online Learning of Temporal Association Rule on Dynamic Multivariate Time Series Data. 8954-8966 - Xuemei Cao, Xin Yang, Shuyin Xia, Guoyin Wang, Tianrui Li:
Open Continual Feature Selection via Granular-Ball Knowledge Transfer. 8967-8980 - Yan Li, Chenyu Ma, Rong Gao, Youxi Wu, Jinyan Li, Wenjian Wang, Xindong Wu:
OPF-Miner: Order-Preserving Pattern Mining With Forgetting Mechanism for Time Series. 8981-8995 - Zhenyu Li, Xiuxing Li, Sunqi Fan, Jianyong Wang:
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework. 8996-9010 - Zi Chen, Xinyu Ji, Long Yuan, Xuemin Lin, Wenjie Zhang, Shan Huang:
Parallel Contraction Hierarchies Construction on Road Networks. 9011-9024 - Pengcheng Guo, Yonghong Song, Boyu Wang, Jiaohao Liu, Qi Zhang:
PLBR: A Semi-Supervised Document Key Information Extraction via Pseudo-Labeling Bias Rectification. 9025-9036 - Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S. Jensen, Youfang Lin:
Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding. 9037-9050 - Qian Chen, Yiqiang Chen, Xinlong Jiang, Teng Zhang, Weiwei Dai, Wuliang Huang, Bingjie Yan, Zhen Yan, Wang Lu, Bo Ye:
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching. 9051-9064 - Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li, Jiye Liang, Fuyuan Cao, Xindong Wu:
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning. 9065-9079 - Zhihao Wen, Yuan Fang:
Prompt Tuning on Graph-Augmented Low-Resource Text Classification. 9080-9095 - Xiao-Qian Liu, Xue-Ying Ding, Xin Luo, Xin-Shun Xu:
ProtoUDA: Prototype-Based Unsupervised Adaptation for Cross-Domain Text Recognition. 9096-9108 - Xuexiong Luo, Sheng Zhang, Jia Wu, Hongyang Chen, Hao Peng, Chuan Zhou, Zhao Li, Shan Xue, Jian Yang:
ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning. 9109-9122 - Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin:
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering. 9123-9135 - Xiao Zhang, Shuqing Xu, Huashan Chen, Zekai Chen, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu:
Rethinking Robust Multivariate Time Series Anomaly Detection: A Hierarchical Spatio-Temporal Variational Perspective. 9136-9149 - Yuan Sun, Yang Qin, Yongxiang Li, Dezhong Peng, Xi Peng, Peng Hu:
Robust Multi-View Clustering With Noisy Correspondence. 9150-9162 - Seonghak Kim, Gyeongdo Ham, Yucheol Cho, Daeshik Kim:
Robustness-Reinforced Knowledge Distillation With Correlation Distance and Network Pruning. 9163-9175 - Qi Lin, Binbin Gu, Faisal Nawab:
RollStore: Hybrid Onchain-Offchain Data Indexing for Blockchain Applications. 9176-9191 - Ziming Wang, Kai Zhang, Yangming Lv, Yinglong Wang, Zhigang Zhao, Zhenying He, Yinan Jing, X. Sean Wang:
RTOD: Efficient Outlier Detection With Ray Tracing Cores. 9192-9204 - Jeongha Park, Bo-Young Lim, Kisung Lee, Hyuk-Yoon Kwon:
SaaN 2L-GRL: Two-Level Graph Representation Learning Empowered With Subgraph-as-a-Node. 9205-9219 - Qing Huang, Dianshu Liao, Zhenchang Xing, Zhiqiang Yuan, Qinghua Lu, Xiwei Xu, Jiaxing Lu:
SE Factual Knowledge in Frozen Giant Code Model: A Study on FQN and Its Retrieval. 9220-9234 - Shuwen Chai, Yutang Xiao, Feng Liu, Jian Zhu, Yuan Zhou:
Securing Multi-Source Domain Adaptation With Global and Domain-Wise Privacy Demands. 9235-9248 - Guangqiang Xie, Haoran Xu, Jiyuan Xu, Shupeng Zhao, Yang Li, Chang-Dong Wang, Xianbiao Hu, Yonghong Tian:
Sequential Trajectory Data Publishing With Adaptive Grid-Based Weighted Differential Privacy. 9249-9262 - Qiheng Sun, Jiayao Zhang, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren:
Shapley Value Approximation Based on Complementary Contribution. 9263-9281 - Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu:
SLA$^{{\text{2}}}$2P: Self-Supervised Anomaly Detection With Adversarial Perturbation. 9282-9293 - Kaixiang Yang, Zhiwen Yu, Wuxing Chen, Zefeng Liang, C. L. Philip Chen:
Solving the Imbalanced Problem by Metric Learning and Oversampling. 9294-9307 - Letian Gong, Huaiyu Wan, Shengnan Guo, Xiucheng Li, Yan Lin, Erwen Zheng, Tianyi Wang, Zeyu Zhou, Youfang Lin:
Spatial-Temporal Cross-View Contrastive Pre-Training for Check-in Sequence Representation Learning. 9308-9321 - Jiaxing Qi, Zhongzhi Luan, Shaohan Huang, Carol J. Fung, Hailong Yang, Depei Qian:
SpikeLog: Log-Based Anomaly Detection via Potential-Assisted Spiking Neuron Network. 9322-9335 - Yongwan Joo, Soon Seok Kim:
SUHDSA: Secure, Useful, and High-Performance Data Stream Anonymization. 9336-9347 - Aihong Yuan, Mengbo You, Yuhan Wang, Xun Li, Xuelong Li:
Symmetrical Self-Representation and Data-Grouping Strategy for Unsupervised Feature Selection. 9348-9360 - Wangze Ni, Peng Cheng, Lei Chen, Shiyu Yang:
Task Assignment Framework for Online Car-Hailing Systems With Electric Vehicles. 9361-9373 - Tingxuan Chen, Jun Long, Zidong Wang, Shuai Luo, Jincai Huang, Liu Yang:
THCN: A Hawkes Process Based Temporal Causal Convolutional Network for Extrapolation Reasoning in Temporal Knowledge Graphs. 9374-9387 - Ziyu Wang, Yinghai Zhou, Hao Liu, Jing Qiu, Binxing Fang, Zhihong Tian:
ThreatInsight: Innovating Early Threat Detection Through Threat-Intelligence-Driven Analysis and Attribution. 9388-9402 - Peiyu Yi, Zhifeng Bao, Feihu Huang, Jince Wang, Jian Peng, Linghao Zhang:
Towards Effective Long-Term Wind Power Forecasting: A Deep Conditional Generative Spatio-Temporal Approach. 9403-9417 - Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King:
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. 9418-9432 - Defu Lian, Zhenguo Gao, Xia Song, Yucheng Li, Qi Liu, Enhong Chen:
Training Recommenders Over Large Item Corpus With Importance Sampling. 9433-9447 - Ming Li, Yan Song, Derui Ding, Ran Sun:
Triple Factorization-Based SNLF Representation With Improved Momentum-Incorporated AGD: A Knowledge Transfer Approach. 9448-9463 - Liwen Zhang, Lianzhen Zhong, Fan Yang, Linglong Tang, Di Dong, Hui Hui, Jie Tian:
TripleSurv: Triplet Time-Adaptive Coordinate Learning Approach for Survival Analysis. 9464-9475 - Hang Yu, Jinpeng Li, Jie Lu, Yiliao Song, Shaorong Xie, Guangquan Zhang:
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams. 9476-9489 - Guofan Liu, Jinghao Zhang, Qiang Liu, Junfei Wu, Shu Wu, Liang Wang:
Uni-Modal Event-Agnostic Knowledge Distillation for Multimodal Fake News Detection. 9490-9503 - Jian Zhou, Jiasheng Li, Li Kuang, Ning Gui:
Unsupervised Graph Representation Learning Beyond Aggregated View. 9504-9516 - Lixiao Cui, Yijing Luo, Yusen Li, Gang Wang, Xiaoguang Liu:
When Learned Indexes Meet Persistent Memory: The Analysis and the Optimization. 9517-9531 - Sai Wu, Meng Shi, Dongxiang Zhang, Junbo Zhao, Gongsheng Yuan, Gang Chen:
When Quantum Computing Meets Database: A Hybrid Sampling Framework for Approximate Query Processing. 9532-9546 - Wenkui Che, Zhiwen Chen, Daokun Hu, Jianhua Sun, Hao Chen:
ZBTree: A Fast and Scalable B$^+$+-Tree for Persistent Memory. 9547-9563
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