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ORCIDXuan Guo 0005
Person information
- affiliation: Tianjin University, Tianjin, China
Other persons with the same name
- Xuan Guo — disambiguation page
- Xuan Guo 0001
![[0000-0002-1972-7889]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1972-7889")
— Beijing Normal University, Beijing, China - Xuan Guo 0002 — Zhengzhou University, Zhengzhou, China
- Xuan Guo 0003 — Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China
- Xuan Guo 0004 — University of North Texas, Denton, TX, USA
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2020 – today
- 2026
[j15]Hongjiang Chen, Pengfei Jiao, Ming Du, Xuan Guo, Zhidong Zhao, Di Jin, Xiao Liu:
TGFormer: Towards temporal graph transformer with auto-correlation mechanism. Pattern Recognit. 170: 112053 (2026)- 2025
- [j14]Jie Li, Xuan Guo, Pengfei Jiao, Wenjun Wang:
Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks. Neurocomputing 613: 128739 (2025) - [j13]Jiale Fu, Xuan Guo, Jinlin Hou, Wei Yu, Hongjin Shi, Yanxia Zhao:
SEGODE: a structure-enhanced graph neural ordinary differential equation network model for temporal link prediction. Knowl. Inf. Syst. 67(2): 1713-1740 (2025) - [j12]Xuan Guo, Jie Li, Pengfei Jiao, Wang Zhang, Tianpeng Li, Wenjun Wang:
Counterfactual learning for higher-order relation prediction in heterogeneous information networks. Neural Networks 183: 107024 (2025) - [j11]Xuan Guo, Pengfei Jiao, Danyang Shi, Jie Li, Jinpeng Wang:
Learning Node Representations via Sketching the Generative Process With Events Benefits Link Prediction on Heterogeneous Networks. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 3961-3974 (2025) - [c7]Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi:
HGMP: Heterogeneous Graph Multi-Task Prompt Learning. IJCAI 2025: 2982-2990 - [c6]Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin:
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities. IJCAI 2025: 10499-10507 - [i5]Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin:
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities. CoRR abs/2505.04461 (2025) - [i4]Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi:
HGMP:Heterogeneous Graph Multi-Task Prompt Learning. CoRR abs/2507.07405 (2025) - [i3]Qiyao Peng, Chen Wang, Yinghui Wang, Hongtao Liu, Xuan Guo, Wenjun Wang:
FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation. CoRR abs/2510.16597 (2025) - 2024
- [j10]Huan Liu, Pengfei Jiao, Xuan Guo, Huaming Wu, Mengzhou Gao, Jilin Zhang:
HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs. IEEE Trans. Big Data 10(5): 620-632 (2024) - [j9]Wang Zhang, Lin Pan, Xuan Guo, Pengfei Jiao:
Disentangled Representation Learning for Structural Role Discovery. IEEE Trans. Comput. Soc. Syst. 11(6): 7200-7211 (2024) - [j8]Xuan Guo, Pengfei Jiao, Wang Zhang, Ting Pan, Mengyu Jia, Danyang Shi, Wenjun Wang:
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9538-9552 (2024) - [c5]Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin:
Graph Contrastive Learning via Interventional View Generation. WWW 2024: 1024-1034 - 2023
- [j7]Pengfei Jiao, Qiang Tian, Wang Zhang, Xuan Guo, Di Jin, Huaming Wu:
Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism. IEEE Trans. Cybern. 53(1): 365-378 (2023) - [c4]Jinlin Hou, Xuan Guo, Jiye Liu, Jie Li, Lin Pan, Wenjun Wang:
Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction. ICANN (4) 2023: 563-575 - 2022
- [j6]Yinghui Wang, Qiyao Peng, Wenjun Wang, Xuan Guo, Minglai Shao, Hongtao Liu, Wei Liang, Lin Pan:
Network Alignment enhanced via modeling heterogeneity of anchor nodes. Knowl. Based Syst. 250: 109116 (2022) - [j5]Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei, Lin Pan:
A Survey on Role-Oriented Network Embedding. IEEE Trans. Big Data 8(4): 933-952 (2022) - [j4]Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang:
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7400-7413 (2022) - [i2]Xuan Guo, Pengfei Jiao, Ting Pan, Wang Zhang, Mengyu Jia, Danyang Shi, Wenjun Wang:
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks. CoRR abs/2201.06972 (2022) - 2021
- [j3]Wang Zhang, Xuan Guo, Wenjun Wang, Qiang Tian, Lin Pan, Pengfei Jiao:
Role-based network embedding via structural features reconstruction with degree-regularized constraint. Knowl. Based Syst. 218: 106872 (2021) - [c3]Wang Zhang, Xuan Guo, Ting Pan, Chaochao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang:
Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features. CIKM 2021: 3632-3636 - [c2]Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao:
Learning Stochastic Equivalence based on Discrete Ricci Curvature. IJCAI 2021: 1456-1462 - [i1]Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei:
A Survey on Role-Oriented Network Embedding. CoRR abs/2107.08379 (2021) - 2020
- [j2]Qin Tian, Lin Pan, Xuan Guo, Xiaoming Li, Wei Yu, Faming Li:
Local Structure and High-Order Feature Preserved Network Embedding Based on Non-Negative Matrix Factorization. IEEE Access 8: 225967-225980 (2020) - [c1]Xuan Guo, Wang Zhang, Wenjun Wang, Yang Yu, Yinghui Wang, Pengfei Jiao:
Role-Oriented Graph Auto-encoder Guided by Structural Information. DASFAA (2) 2020: 466-481
2010 – 2019
- 2019
- [j1]Hongyao Ke, Yinghui Wang, Xuan Guo, Lin Pan, Pengfei Jiao, Wenjun Wang, Xiaoping Yang:
Deep Mutual Encode Model for Network Embedding From Structural Identity. IEEE Access 7: 177484-177496 (2019)
Coauthor Index
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last updated on 2026-01-28 02:35 CET by the dblp team
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