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ORCIDICKG 2020: Beijing, China
- Enhong Chen, Grigoris Antoniou:
2020 IEEE International Conference on Knowledge Graph, ICKG 2020, Online, August 9-11, 2020. IEEE 2020, ISBN 978-1-7281-8156-1 - Bhavani Thuraisingham:
Cyber Security Meets Big Knowledge: Towards a Secure HACE Theorem. 1-3 - Bhavani Thuraisingham:
Keynote I Cyber Security Meets Big Knowledge: Towards a Secure HACE Theorem. 1-6 - Xiang Guo, Youquan Wang, Kaiyuan Gao, Jie Cao, Haicheng Tao, Chaoyue Chen:
Integrating Bi-Dynamic Routing Capsule Network with Label-Constraint for Text classification. 4-11 - Gongqing Wu, Shengjie Hu, Yinghuan Wang, Zan Zhang, Xianyu Bao:
Subject Event Extraction from Chinese Court Verdict Case via Frame-filling. 12-19 - Enhui Li, Huawen Liu, Kaile Su
, Shichao Zhang:
Outlier Detection via Kernel Preserving Embedding and Random Walk. 20-25 - Wei Li, Le Xia, Ying Huang:
An Adaptive Ant Colony optimization in Knowledge Graphs. 26-32 - Mingda Li, Zhengya Sun, Siheng Zhang, Wensheng Zhang:
Enhancing Knowledge Graph Embedding with Relational Constraints. 33-40 - Chunyi Zhou, Yuanyuan Jin, Xiaoling Wang, Yingjie Zhang:
Conversational Music Recommendation based on Bandits. 41-48 - Yan Lv, Yaojin Lin, Xiangyan Chen, Dongxing Wang, Chenxi Wang:
Online Streaming Feature Selection Based on Feature Interaction. 49-57 - Daoyuan Yu, Xuegang Hu:
Adaptive domain of dynamic distribution based on manifold space. 58-63 - Wenying Yu, Shuai Ding, Zijie Yue, Shanlin Yang:
Emotion Recognition from Facial Expressions and Contactless Heart Rate Using Knowledge Graph. 64-69 - Xian Zu, Fei Xie, Xiaojian Liu:
Graph-based Keyphrase Extraction Using Word and Document Em beddings. 70-76 - Lipeng Wan, Xuguang Lan, Xuwei Song, Chuzhen Feng, Nanning Zheng:
Periodic Guidance Learning. 77-83 - Hongyu Li, Dan Meng, Hong Wang, Xiaolin Li:
Knowledge Federation: A Unified and Hierarchical Privacy-Preserving AI Framework. 84-91 - Dianlong You, Ruiqi Li, Miaomiao Sun, Xinju Ou, Shunpan Liang, Fuyong Yuan:
Online Markov Blanket Discovery With Streaming Features. 92-99 - Yucheng Lin, Huiting Hong, Xiaoqing Yang, Pinghua Gong, Zang Li, Jieping Ye:
AHINE: Adaptive Heterogeneous Information Network Embedding. 100-107 - Xuegang Hu, Jianxing Liao, Peipei Li, Junwei Lv, Lei Li:
Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification. 108-115 - Shuwen Wang, Magdalyn E. Elkin, Xingquan Zhu:
Imbalanced Learning for Hospital Readmission Prediction using National Readmission Database. 116-122 - Yanhui Peng, Jing Zhang, Cangqi Zhou, Jian Xu:
Embedding-Based Entity Alignment Using Relation Structural Similarity. 123-130 - Jianxuan Shao, Guliu Liu, Shengwei Ji:
An Abnormal Data Analysis and Processing Method for Genealogy Graph Databases. 131-136 - Chen Zhao, Feng Chen:
Unfairness Discovery and Prevention For Few-Shot Regression. 137-144 - Himel Das Gupta, Victor S. Sheng:
A Roadmap to Domain Knowledge Integration in Machine Learning. 145-151 - Jiannan Chen, Junping Du, Zhe Xue, Feifei Kou:
Prediction of Financial Big Data Stock Trends Based on Attention Mechanism. 152-156 - Jianghai Lv, Junping Du, Nan Zhou, Zhe Xue:
BERT-BIGRU-CRF: A Novel Entity Relationship Extraction Model. 157-164 - Jialun Li, Yuanyuan Jin, Hao Yu, Xiaoling Wang, Qiyuan Zhuang, Liang Chen:
Multi-task Classification Model Based On Multi-modal Glioma Data. 165-172 - Ruqian Lu, Chuanqing Wang, Xikun Huang, Songmao Zhang:
B-SPARQL: A typed language for Querying the Big Knowledge. 173-180 - Erhe Yang, Fei Hao, Jie Gao, Yulei Wu, Geyong Min:
Entity Spatio-temporal Evolution Summarization in Knowledge Graphs. 181-187 - Yongjun Zhang, Xiaoping Yang, Liang Wang:
Clustering via Meta-path Embedding for Heterogeneous Information Networks. 188-194 - Xiaoyi Fu, Xu Jiang, Yunfei Qi, Meng Xu, Yuhang Song, Jie Zhang, Xindong Wu:
An Event-Centric Prediction System for COVID-19. 195-202 - Lei Sang, Lei Li:
Neural Collaborative Recommendation with Knowledge Graph. 203-210 - Deqing Yang, Zikai Guo, Yanghua Xiao:
Learning Knowledge Embeddings with Prior Weights for Sparse Interaction Recommendation. 211-218 - Jin Diao, Zhangbing Zhou:
Scientific Workflow Recommendation Based on Service Knowledge Graph. 219-226 - Yi Sun, Peisen Yuan, Yuming Sun:
MM-GAN: 3D MRI Data Augmentation for Medical Image Segmentation via Generative Adversarial Networks. 227-234 - Yinghan Shen, Xuhui Jiang, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng:
Dynamic Relation Extraction with A Learnable Temporal Encoding Method. 235-242 - Hengli Wang, Yanlei Shang, Xiuquan Qiao:
The Integrated Organization of Data and Knowledge Based on Distributed Hash. 243-250 - Liang Wang, Rongrong Li, Weiyi Meng, Zhiyong Peng:
Resolving Seemingly Conflicting Fact Statements Caused by Missing Terms. 251-258 - Hao Wang, Wenyan Liu, Xiaoling Wang, Yingjie Zhang:
Global and Personalized Query Probability for Obfuscation-Based Web Search. 259-266 - Lukasz Chmielewski, Rafina Amin, Anak Wannaphaschaiyong, Xingquan Zhu:
Network Analysis of Technology Stocks using Market Correlation. 267-274 - Chen Zhao, Changbin Li, Jincheng Li, Feng Chen:
Fair Meta-Learning For Few-Shot Classification. 275-282 - Chenyang Li, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Yanfeng Wang:
Dual Graph Embedding for Object-Tag Link Prediction on the Knowledge Graph. 283-290 - Zhimin Lin, Dajiang Lei, Yuting Han, Guoyin Wang, Wei Deng, Yuan Huang:
Siamese BERT Model with Adversarial Training for Relation Classification. 291-296 - Houjin Yu, Xian-Ling Mao, Zewen Chi, Wei Wei, Heyan Huang:
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition. 297-304 - Ping Jiang, Xian-Ling Mao, Bin-Bin Bian, Heyan Huang:
Improving Document-level Relation Extraction via Contextualizing Mention Representations andWeighting Mention Pairs. 305-312 - Shengfei Lyu, Jiaqi Liu:
Hybrid Framework of Convolution and Recurrent Neural Networks for Text Classification. 313-320 - Subin Huang, Xiangfeng Luo, Jing Huang, Wei Qin, Shengwei Gu:
Neural Entity Synonym Set Generation using Association Information and Entity Constraint. 321-328 - Erxin Yu, Yantao Jia, Shang Wang, Fengfu Li, Yi Chang:
Context and Type Enhanced Representation Learning for Relation Extraction. 329-335 - Xuetao Tang, Xuegang Hu, Pei-Pei Li:
Dynamically Jointing character and word embedding for Chinese text Classification. 336-343 - Feiliang Ren, Jucheng Li, Huihui Zhang, Xiaochun Yang:
TransP: A New Knowledge Graph Embedding Model by Translating on Positions*. 344-351 - Zhebin Zhang, Sai Wu, Gang Chen, Dawei Jiang:
Self-Attention and Dynamic Convolution Hybrid Model for Neural Machine Translation. 352-359 - Xuhui Jiang, Yinghan Shen, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng:
BaKGraSTeC: A Background Knowledge Graph Based Method for Short Text Classification. 360-366 - Erxin Yu, Yantao Jia, Yuan Tian, Yi Chang:
A Two-Level Noise-Tolerant Model for Relation Extraction with Reinforcement Learning. 367-373 - Yunzhou Shi, Yujiu Yang:
Relational Facts Extraction with Splitting Mechanism. 374-379 - Dandan Song, Jingwen Gao, Jinhui Pang, Lejian Liao, Lifei Qin:
Knowledge Base Enhanced Topic Modeling. 380-387 - Yu Hong, Suo Feng, Yanghua Xiao:
EntityLDA: A Topic Model for Entity Retrieval on Knowledge Graph. 388-395 - Fulan Qian, Cunliang Zhu, Xi Chen, Shu Zhao, Yanping Zhang:
PRNSGA-II: A Novel Approach for Influence Maximization and Cost Minimization Based on NSGA-II. 396-403 - Qiuyan Li, Yanlei Shang, Xiuquan Qiao, Wei Dai:
Heterogeneous Dynamic Graph Attention Network. 404-411 - Hao Gao, Yongqing Wang, Shanshan Lyu, Huawei Shen, Xueqi Cheng:
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction. 412-419 - Lifang Ding, Yujiu Yang:
SDSK2BERT: Explore the Specific Depth with Specific Knowledge to Compress BERT. 420-425 - Zhihuai Chen, Xiaoming Sun, Xiaohan Shan, Jialin Zhang:
Decentralized Mining Pool Games in Blockchain. 426-432 - Zhihuai Chen, Qian Li, Xiaoming Sun, Lirong Xia, Jialin Zhang:
Approximate Single-Peakedness in Large Elections. 433-440 - Lingfeng Zhong, Yi Zhu:
Relation Extraction with Proactive Domain Adaptation Strategy. 441-448 - Wendi Ji, Yinglong Sun, Tingwei Chen, Xiaoling Wang:
Two-stage Sequential Recommendation via Bidirectional Attentive Behavior Embedding and Long/Short-term Integration. 449-457 - Yiming Zhang, Yujie Fan, Shifu Hou, Yanfang Ye, Xusheng Xiao, Pan Li, Chuan Shi, Liang Zhao, Shouhuai Xu:
Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub. 458-465 - Jingchao Su, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Chenyang Li:
Collaborative Adversarial Learning for Relational Learning on Multiple Bipartite Graphs. 466-473 - Lu Wang, Xiaofeng He, Dijun Luo:
Deep Reinforcement Learning for Greenhouse Climate Control. 474-480 - Xin Luo, Ye Yuan, Di Wu:
Adaptive Regularization-Incorporated Latent Factor Analysis. 481-488 - Di Wu, Gang Lu, Zhicheng Xu:
Robust and Accurate Representation Learning for High-dimensional and Sparse Matrices in Recommender Systems. 489-496 - Zhabiz Gharibshah, Xingquan Zhu:
TriNE: Network Representation Learning for Tripartite Heterogeneous Networks. 497-504 - Yuwei Peng, Huan Jiang, Rongrong Li, Zhiyong Peng:
PZXG: A Genealogy Data Service Platform for Kinship Management and Application. 505-512 - Yuting Wei, Huazheng Wang, Jiaqi Zhao, Yutong Liu, Yun Zhang, Bin Wu:
GeLaiGeLai: A visual platform for analysis of Classical Chinese Poetry based on Knowledge Graph. 513-520 - Guliu Liu, Lei Li:
Knowledge Fragment Cleaning in a Genealogy Knowledge Graph. 521-528 - Xindong Wu, Tingting Jiang, Yi Zhu, Chenyang Bu:
Knowledge Graph for China's Genealogy. 529-535 - Xiaojian Liu, Yi Zhu, Shengwei Ji:
Web Log Analysis in Genealogy System. 536-543 - Yan Hong, Chenyang Bu, Tingting Jiang:
Rule-enhanced Noisy Knowledge Graph Embedding via Low-quality Error Detection. 544-551 - Xindong Wu, Shaojing Sheng, Peng Zhou:
Balanced Tree Partitioning with Succinct Logic. 552-559 - Ziqiang Zheng, Yongguo Liu, Yun Zhang, Chuanbiao Wen:
TCMKG: A Deep Learning Based Traditional Chinese Medicine Knowledge Graph Platform. 560-564 - Tianling Pu, Qifan Zhang, Junjie Yao, Yingjie Zhang:
Medical Entity Extraction from Health Insurance Documents. 565-572 - Qingquan Li, Qifan Zhang, Junjie Yao, Yingjie Zhang:
Event Extraction for Criminal Legal Text. 573-580 - Siyi Guo, Liuqi Jin, Jiaoyun Yang, Mengyao Jiang, Lin Han, Ning An:
Causal Extraction from the Literature of Pressure Injury and Risk Factors. 581-585 - Tsz Shing Tsoi, Charles Wheelus:
Traffic Signal Classification with Cost-Sensitive Deep Learning Models. 586-592 - Jingzhuo Zhang, Weijie Liu, Ping Wang:
Drug Drug Interaction Extraction from Chinese Biomedical Literature Using Distant Supervision. 593-598 - Yuanyuan Jin, Wei Zhang, Mingyou Sun, Xing Luo, Xiaoling Wang:
Neural Restaurant-aware Dish Recommendation. 599-606 - Pengfei Jin, Zhanyu Liu, Yao Xiao:
Discovering the Most Influential Geo-Social Object Using Location Based Social Network Data. 607-614 - Xiaoxue Li, Yuanquan Shi, Xu Zhou, Kenli Li:
Maintenance of Range Skyline Query. 615-620 - Jiayi Yuan, Hongye Li, Meng Wang, Ruyang Liu, Chuanyou Li, Beilun Wang:
An OpenCV-based Framework for Table Information Extraction. 621-628 - Tai Wang, Huan Li:
Coreference Resolution Improves Educational Knowledge Graph Construction. 629-634 - Yimu Ji, Kaihang Liu, Shangdong Liu, Shuning Tang, Wan Xiao, Zhengyang Xu, Lin Hu, Yanlan Liu, Qiang Liu:
FEPF: A knowledge Fusion and Evaluation Method based on Pagerank and Feature Selection. 635-640 - Junrui Zhang, Yun Mo, Changzhi Chen, Xiaofeng He:
Neural Attentive Knowledge Tracing Model for Student Performance Prediction. 641-648 - Ruiyang Jin, Yunlei Lu, Yunhong Wang, Jie Song:
The Short-Term Power Consumption Forecasting Based on the Portrait of Substation Areas. 649-653
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last updated on 2026-01-29 02:06 CET by the dblp team
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