Xuan Guo

30 papers A* 6A 1Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
TGFormer: Towards temporal graph transformer with auto-correlation mechanism.
Pattern Recognit.
Hongjiang Chen, Pengfei Jiao, Ming Du, Xuan Guo, Zhidong Zhao, Di Jin, Xiao Liu
2026 A* conf
Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning.
AAAI
Xinxun Zhang, Pengfei Jiao, Mengzhou Gao, Tianpeng Li, Xuan Guo
2026 J jnl
Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning.
CoRR
Xinxun Zhang, Pengfei Jiao, Mengzhou Gao, Tianpeng Li, Xuan Guo
2026 A* conf
Towards Robust Heterogeneous Graph Explanations under Structural Perturbations.
WWW
Yifan Lu, Pengfei Jiao, Xuan Guo, Ziyun Zou, Yiwei Wang, Mengzhou Gao, Huaming Wu, Imran Razzak
2025 A* conf
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities.
IJCAI
Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin
2025 J jnl
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities.
CoRR
Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin
2025 J jnl
Counterfactual learning for higher-order relation prediction in heterogeneous information networks.
Neural Networks
Xuan Guo, Jie Li, Pengfei Jiao, Wang Zhang, Tianpeng Li, Wenjun Wang
2025 J jnl
FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation.
CoRR
Qiyao Peng, Chen Wang, Yinghui Wang, Hongtao Liu, Xuan Guo, Wenjun Wang
2025 A* conf
HGMP: Heterogeneous Graph Multi-Task Prompt Learning.
IJCAI
Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi
2025 J jnl
HGMP:Heterogeneous Graph Multi-Task Prompt Learning.
CoRR
Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi
2025 J jnl
Learning Node Representations via Sketching the Generative Process With Events Benefits Link Prediction on Heterogeneous Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Xuan Guo, Pengfei Jiao, Danyang Shi, Jie Li, Jinpeng Wang
2025 J jnl
Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks.
Neurocomputing
Jie Li, Xuan Guo, Pengfei Jiao, Wenjun Wang
2025 J jnl
SEGODE: a structure-enhanced graph neural ordinary differential equation network model for temporal link prediction.
Knowl. Inf. Syst.
Jiale Fu, Xuan Guo, Jinlin Hou, Wei Yu, Hongjin Shi, Yanxia Zhao
2024 J jnl
Disentangled Representation Learning for Structural Role Discovery.
IEEE Trans. Comput. Soc. Syst.
Wang Zhang, Lin Pan, Xuan Guo, Pengfei Jiao
2024 A* conf
Graph Contrastive Learning via Interventional View Generation.
WWW
Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin
2024 J jnl
HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs.
IEEE Trans. Big Data
Huan Liu, Pengfei Jiao, Xuan Guo, Huaming Wu, Mengzhou Gao, Jilin Zhang
2024 J jnl
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks.
IEEE Trans. Neural Networks Learn. Syst.
Xuan Guo, Pengfei Jiao, Wang Zhang, Ting Pan, Mengyu Jia, Danyang Shi, Wenjun Wang
2023 J jnl
Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism.
IEEE Trans. Cybern.
Pengfei Jiao, Qiang Tian, Wang Zhang, Xuan Guo, Di Jin, Huaming Wu
2023 — conf
Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction.
ICANN (4)
Jinlin Hou, Xuan Guo, Jiye Liu, Jie Li, Lin Pan, Wenjun Wang
2022 J jnl
A Survey on Role-Oriented Network Embedding.
IEEE Trans. Big Data
Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei, Lin Pan
2022 J jnl
Network Alignment enhanced via modeling heterogeneity of anchor nodes.
Knowl. Based Syst.
Yinghui Wang, Qiyao Peng, Wenjun Wang, Xuan Guo, Minglai Shao, Hongtao Liu, Wei Liang, Lin Pan
2022 J jnl
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks.
CoRR
Xuan Guo, Pengfei Jiao, Ting Pan, Wang Zhang, Mengyu Jia, Danyang Shi, Wenjun Wang
2022 J jnl
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism.
IEEE Trans. Neural Networks Learn. Syst.
Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang
2021 J jnl
A Survey on Role-Oriented Network Embedding.
CoRR
Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei
2021 A* conf
Learning Stochastic Equivalence based on Discrete Ricci Curvature.
IJCAI
Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao
2021 J jnl
Role-based network embedding via structural features reconstruction with degree-regularized constraint.
Knowl. Based Syst.
Wang Zhang, Xuan Guo, Wenjun Wang, Qiang Tian, Lin Pan, Pengfei Jiao
2021 A conf
Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features.
CIKM
Wang Zhang, Xuan Guo, Ting Pan, Chaochao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang
2020 J jnl
Local Structure and High-Order Feature Preserved Network Embedding Based on Non-Negative Matrix Factorization.
IEEE Access
Qin Tian, Lin Pan, Xuan Guo, Xiaoming Li, Wei Yu, Faming Li
2020 — conf
Role-Oriented Graph Auto-encoder Guided by Structural Information.
DASFAA (2)
Xuan Guo, Wang Zhang, Wenjun Wang, Yang Yu, Yinghui Wang, Pengfei Jiao
2019 J jnl
Deep Mutual Encode Model for Network Embedding From Structural Identity.
IEEE Access
Hongyao Ke, Yinghui Wang, Xuan Guo, Lin Pan, Pengfei Jiao, Wenjun Wang, Xiaoping Yang