Xuan Guo

According to our database, Xuan Guo authored at least 25 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

TGFormer: Towards temporal graph transformer with auto-correlation mechanism.

Hongjiang Chen, Pengfei Jiao, Ming Du, Xuan Guo, Zhidong Zhao, Di Jin, Xiao Liu

Pattern Recognit., 2026

2025

FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation.

Qiyao Peng, Chen Wang, Yinghui Wang, Hongtao Liu, Xuan Guo, Wenjun Wang

CoRR, October, 2025

HGMP:Heterogeneous Graph Multi-Task Prompt Learning.

Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi

CoRR, July, 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

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

SEGODE: a structure-enhanced graph neural ordinary differential equation network model for temporal link prediction.

Jiale Fu, Xuan Guo, Jinlin Hou, Wei Yu, Hongjin Shi, Yanxia Zhao

Knowl. Inf. Syst., February, 2025

Counterfactual learning for higher-order relation prediction in heterogeneous information networks.

Xuan Guo, Jie Li, Pengfei Jiao, Wang Zhang, Tianpeng Li, Wenjun Wang

Neural Networks, 2025

Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks.

Jie Li, Xuan Guo, Pengfei Jiao, Wenjun Wang

Neurocomputing, 2025

HGMP: Heterogeneous Graph Multi-Task Prompt Learning.

Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Disentangled Representation Learning for Structural Role Discovery.

Wang Zhang, Lin Pan, Xuan Guo, Pengfei Jiao

IEEE Trans. Comput. Soc. Syst., December, 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

IEEE Trans. Big Data, October, 2024

Representation Learning on Heterostructures via Heterogeneous Anonymous Walks.

Xuan Guo, Pengfei Jiao, Wang Zhang, Ting Pan, Mengyu Jia, Danyang Shi, Wenjun Wang

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Graph Contrastive Learning via Interventional View Generation.

Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin

Proceedings of the ACM on Web Conference 2024, 2024

2023

Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism.

Pengfei Jiao, Qiang Tian, Wang Zhang, Xuan Guo, Di Jin, Huaming Wu

IEEE Trans. Cybern., 2023

Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction.

Jinlin Hou, Xuan Guo, Jiye Liu, Jie Li, Lin Pan, Wenjun Wang

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

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

IEEE Trans. Neural Networks Learn. Syst., 2022

A Survey on Role-Oriented Network Embedding.

Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei, Lin Pan

IEEE Trans. Big Data, 2022

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

Knowl. Based Syst., 2022

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

Knowl. Based Syst., 2021

A Survey on Role-Oriented Network Embedding.

Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei

CoRR, 2021

Learning Stochastic Equivalence based on Discrete Ricci Curvature.

Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Local Structure and High-Order Feature Preserved Network Embedding Based on Non-Negative Matrix Factorization.

Qin Tian, Lin Pan, Xuan Guo, Xiaoming Li, Wei Yu, Faming Li

IEEE Access, 2020

Role-Oriented Graph Auto-encoder Guided by Structural Information.

Xuan Guo, Wang Zhang, Wenjun Wang, Yang Yu, Yinghui Wang, Pengfei Jiao

Proceedings of the Database Systems for Advanced Applications, 2020

2019

Deep Mutual Encode Model for Network Embedding From Structural Identity.

Hongyao Ke, Yinghui Wang, Xuan Guo, Lin Pan, Pengfei Jiao, Wenjun Wang, Xiaoping Yang

IEEE Access, 2019