I am currently a PhD student at the College of Intelligence and Computing, Tianjin University, supervised by Prof. Wenjun Wang. My main research areas include network representation learning, complex network analysis, graph neural networks, and graph pre-training models.

我现在是天津大学智能与计算学部博士后/助理研究员，主要研究领域为多模态图模型、AI4Science等。欢迎有意向的学生联系我交流探讨。

Email: guoxuan@tju.edu.cn

Google Scolar: https://scholar.google.com/citations?user=-AEhDVMAAAAJ

Publications

Conference and Journal publications are highlighted by different colors. Presentation slides and other extra materials are sometimes included.

Main Publications

• Learning Heterogeneous Network Representations for Relation Prediction via Characterizing Hierarchical and Anisotropic Generation Process.
  Xuan Guo, Qiyao Peng, Wenjun Wang, Yaozhi Zhang, Zihao Liang, Wei Yu, Ying Zhao, Tianpeng Li
  ESWA 2026 (Under Editing)
  
• 自适应建模网络动力学的动态链路预测方法 (Dynamic Link Prediction Method for Adaptively Modeling Network Dynamics).
  Xuan Guo, Jinlin Hou, Wenjun Wang, Pengfei Jiao
  计算机科学（Computer Science） 2025
  
• Counterfactual Learning for Higher-Order Relation Prediction in Heterogeneous Information Networks.
  Xuan Guo, Jie Li, Pengfei Jiao, Wang Zhang, Tianpeng Li, Wenjun Wang
  NEU NET 2025
  
• Learning Node Representations via Sketching the Generative Process with Events Benefits Link Prediction on Heterogeneous Networks.
  Xuan Guo, Pengfei Jiao, Danyang Shi, Jie Li, Jinpeng Wang
  TPAMI 2025
  
• Representation Learning on Heterostructures via Heterogeneous Anonymous Walks.
  Xuan Guo, Pengfei Jiao, Wang Zhang, Ting Pan, Mengyu Jia, Danyang Shi, Wenjun Wang
  TNNLS 2023
  
• Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction.
  Jinlin Hou, Xuan Guo, Jiye Liu, Jie Li, Lin Pan, Wenjun Wang     (Co-First Author)
  ICANN 2023
  
• Learning Stochastic Equivalence based on Discrete Ricci Curvature.
  Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, and Pengfei Jiao
  IJCAI 2021
  
• Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism.
  Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang     (Student First Author)
  TNNLS 2021
  
• A Survey on Role-Oriented Network Embedding..
  Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei, Lin Pan     (Student First Author)
  TBD 2021
  
• Role-Oriented Graph Auto-Encoder Guided by Structural Information.
  Xuan Guo, Wang Zhang, Wenjun Wang, Yang Yu, Yinghui Wang, Pengfei Jiao
  DASFAA 2020
  

Other Publications

• Unified Network Embedding via Mutual Fusion of Communities and Roles.
  Pengfei Jiao, Wang Zhang, Xuan Guo, Huan Liu, Yanxian Bi, Yefei Zhang    
  TCSS 2026
  
• HSDP: Hypergraph and structure-aware representation learning for information diffusion prediction.
  Wang Zhang, Wenjun Wang, Xuan Guo, Tianpeng Li, Minglai Shao     
  PR 2026 (Under Editing)
  
• Towards Robust Heterogeneous Graph Explanations under Structural Perturbations.
  Yifan Lu, Pengfei Jiao, Xuan Guo, Ziyun Zou, Yiwei Wang, Mengzhou Gao, Huaming Wu, Imran Razzak     (Under My Supervision)
  WWW 2026
  
• Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning.
  Xinxun Zhang, Pengfei Jiao, Mengzhou Gao, Tianpeng Li, Xuan Guo     (Under My Supervision)
  AAAI 2026
  
• TGFormer: Towards Temporal Graph Transformer with Auto-Correlation Mechanism.
  Hongjiang Chen, Pengfei Jiao, Ming Du, Xuan Guo, Zhidong Zhao, Di Jin, Xiao Liu     (Under My Supervision)
  PR 2025
  
• HGMP: Heterogeneous Graph Multi-Task Prompt Learning.
  Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi     (Under My Supervision)
  IJCAI 2025
  
• A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities.
  Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin     (Under My Supervision)
  IJCAI 2025
  
• Graph Contrastive Learning with Node-Level Accurate Difference.
  Pengfei Jiao, Kaiyan Yu, Qing Bao, Ying Jiang, Xuan Guo, Zhidong Zhao     (Under My Supervision)
  FMRE 2025
  
• Learning Accurate Neighborhood-and Self-Information for Higher-Order Relation Prediction in Heterogeneous Information Networks.
  Jie Li, Xuan Guo, Pengfei Jiao, Wenjun Wang     (Under My Supervision)
  Neurocomputing 2025
  
• 图神经常微分方程综述 (Survey on Graph Neural Ordinary Differential Equations).
  Pengfei Jiao, Shuxin Chen, Xuan Guo, Dongxiao He, Dong Liu     (Under My Supervision)
  计算机研究与发展 2025
  
• Disentangled Representation Learning for Structural Role Discovery.
  Wang Zhang, Lin Pan, Xuan Guo, Pengfei Jiao
  TCSS 2024
  
• HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs.
  Huan Liu, Pengfei Jiao, Xuan Guo, Huaming Wu, Mengzhou Gao, Jilin Zhang     (Under My Supervision)
  TBD 2024
  
• Graph Contrastive Learning via Interventional View Generation.
  Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin     (Under My Supervision)
  WWW 2024
  
• Network Alignment Enhanced via Modeling Heterogeneity of Anchor Nodes.
  Yinghui Wang, Qiyao Peng, Wenjun Wang, Xuan Guo, Minglai Shao*, Hongtao Liu, Wei Liang, Lin Pan
  KBS 2022
  
• Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism.
  Pengfei Jiao, Qiang Tian, Wang Zhang, Xuan Guo, Di Jin, Huaming Wu
  TCYB 2021
  
• Role-Oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features.
  Wang Zhang, Xuan Guo, Ting Pan, Chaochao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang
  CIKM 2021
  
• Role-Based Network Embedding via Structural Features Reconstruction with Degree-Regularized Constraint.
  Wang Zhang, Xuan Guo, Wenjun Wang, Qiang Tian, Lin Pan, Pengfei Jiao
  KBS 2021
  

Presentations

Tutorials

• Roles in Networks - Foundations, Methods and Applications.
  Mykola Pechenizkiy, George Fletcher, Yulong Pei, Pengfei Jiao, Xuan Guo
  ICDM 2021 DSAA 2021 Slides