Deep Mutual Encode Model for Network Embedding From Structural Identity. - Hongyao Ke; Yinghui Wang; Xuan Guo 005; Lin Pan 002; Pengfei Jiao; Wenjun Wang 002; Xiaoping Yang (IEEE Access, 2019)

Role-Oriented Graph Auto-encoder Guided by Structural Information. - Xuan Guo 005; Wang Zhang 001; Wenjun Wang 002; Yang Yu 030; Yinghui Wang; Pengfei Jiao (DASFAA (2), 2020)

Local Structure and High-Order Feature Preserved Network Embedding Based on Non-Negative Matrix Factorization. - Qin Tian; Lin Pan 002; Xuan Guo 005; Xiaoming Li 006; Wei Yu 016; Faming Li (IEEE Access, 2020)

Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features. - Wang Zhang 001; Xuan Guo 005; Ting Pan; Chaochao Liu; Pengfei Jiao; Lin Pan 002; Wenjun Wang 002 (CIKM, 2021)

Learning Stochastic Equivalence based on Discrete Ricci Curvature. - Xuan Guo 005; Qiang Tian; Wang Zhang 001; Wenjun Wang 002; Pengfei Jiao (IJCAI, 2021)

A Survey on Role-Oriented Network Embedding. - Pengfei Jiao; Xuan Guo 005; Ting Pan; Wang Zhang 001; Yulong Pei (CoRR, 2021)

Role-based network embedding via structural features reconstruction with degree-regularized constraint. - Wang Zhang 001; Xuan Guo 005; Wenjun Wang 002; Qiang Tian; Lin Pan 002; Pengfei Jiao (Knowl. Based Syst., 2021)

Network Alignment enhanced via modeling heterogeneity of anchor nodes. - Yinghui Wang; Qiyao Peng 001; Wenjun Wang 002; Xuan Guo 005; Minglai Shao 001; Hongtao Liu; Wei Liang; Lin Pan 002 (Knowl. Based Syst., 2022)

A Survey on Role-Oriented Network Embedding. - Pengfei Jiao; Xuan Guo 005; Ting Pan; Wang Zhang 001; Yulong Pei; Lin Pan 002 (IEEE Trans. Big Data, 2022)

Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism. - Pengfei Jiao; Xuan Guo 005; Xin Jing; Dongxiao He; Huaming Wu; Shirui Pan; Maoguo Gong; Wenjun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction. - Jinlin Hou; Xuan Guo 005; Jiye Liu; Jie Li 087; Lin Pan 002; Wenjun Wang 002 (ICANN (4), 2023)

Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism. - Pengfei Jiao; Qiang Tian; Wang Zhang 001; Xuan Guo 005; Di Jin 001; Huaming Wu (IEEE Trans. Cybern., 2023)

Graph Contrastive Learning via Interventional View Generation. - Zengyi Wo; Minglai Shao 001; Wenjun Wang 002; Xuan Guo 005; Lu Lin 001 (WWW, 2024)

Representation Learning on Heterostructures via Heterogeneous Anonymous Walks. - Xuan Guo 005; Pengfei Jiao; Wang Zhang 001; Ting Pan; Mengyu Jia; Danyang Shi; Wenjun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs. - Huan Liu; Pengfei Jiao; Xuan Guo 005; Huaming Wu; Mengzhou Gao 001; Jilin Zhang (IEEE Trans. Big Data, 2024)

Disentangled Representation Learning for Structural Role Discovery. - Wang Zhang 001; Lin Pan 002; Xuan Guo 005; Pengfei Jiao (IEEE Trans. Comput. Soc. Syst., 2024)

A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities. - Pengfei Jiao; Hongjiang Chen; Xuan Guo 005; Zhidong Zhao; Dongxiao He; Di Jin 001 (IJCAI, 2025)

HGMP: Heterogeneous Graph Multi-Task Prompt Learning. - Pengfei Jiao; Jialong Ni; Di Jin 001; Xuan Guo 005; Huan Liu; Hongjiang Chen; Yanxian Bi (IJCAI, 2025)

Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks. - Jie Li 087; Xuan Guo 005; Pengfei Jiao; Wenjun Wang 002 (Neurocomputing, 2025)

Counterfactual learning for higher-order relation prediction in heterogeneous information networks. - Xuan Guo 005; Jie Li 087; Pengfei Jiao; Wang Zhang 001; Tianpeng Li; Wenjun Wang 002 (Neural Networks, 2025)

SEGODE: a structure-enhanced graph neural ordinary differential equation network model for temporal link prediction. - Jiale Fu; Xuan Guo 005; Jinlin Hou; Wei Yu 016; Hongjin Shi; Yanxia Zhao (Knowl. Inf. Syst., 2025)

Learning Node Representations via Sketching the Generative Process With Events Benefits Link Prediction on Heterogeneous Networks. - Xuan Guo 005; Pengfei Jiao; Danyang Shi; Jie Li 087; Jinpeng Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

HGMP:Heterogeneous Graph Multi-Task Prompt Learning. - Pengfei Jiao; Jialong Ni; Di Jin 001; Xuan Guo 005; Huan Liu; Hongjiang Chen; Yanxian Bi (CoRR, 2025)

FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation. - Qiyao Peng 001; Chen Wang; Yinghui Wang; Hongtao Liu; Xuan Guo 005; Wenjun Wang 002 (CoRR, 2025)

TGFormer: Towards temporal graph transformer with auto-correlation mechanism. - Hongjiang Chen; Pengfei Jiao; Ming Du 003; Xuan Guo 005; Zhidong Zhao; Di Jin 001; Xiao Liu (Pattern Recognit., 2026)