| Temporal network embedding for link prediction via vae joint attention mechanism P Jiao, X Guo, X Jing, D He, H Wu, S Pan, M Gong, W Wang IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7400-7413, 2021 | 66 | 2021 |
| Role-based network embedding via structural features reconstruction with degree-regularized constraint W Zhang, X Guo, W Wang, Q Tian, L Pan, P Jiao Knowledge-Based Systems 218, 106872, 2021 | 33 | 2021 |
| A survey on role-oriented network embedding P Jiao, X Guo, T Pan, W Zhang, Y Pei, L Pan IEEE Transactions on Big Data 8 (4), 933-952, 2021 | 23 | 2021 |
| Role-oriented graph auto-encoder guided by structural information X Guo, W Zhang, W Wang, Y Yu, Y Wang, P Jiao Database Systems for Advanced Applications: 25th International Conference …, 2020 | 18 | 2020 |
| Role discovery-guided network embedding based on autoencoder and attention mechanism P Jiao, Q Tian, W Zhang, X Guo, D Jin, H Wu IEEE Transactions on Cybernetics 53 (1), 365-378, 2021 | 11 | 2021 |
| Network Alignment enhanced via modeling heterogeneity of anchor nodes Y Wang, Q Peng, W Wang, X Guo, M Shao, H Liu, W Liang, L Pan Knowledge-Based Systems 250, 109116, 2022 | 10 | 2022 |
| Deep Mutual Encode Model for Network Embedding From Structural Identity H Ke, Y Wang, X Guo, L Pan, P Jiao, W Wang, X Yang IEEE Access 7, 177484-177496, 2019 | 7 | 2019 |
| Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features W Zhang, X Guo, T Pan, C Liu, P Jiao, L Pan, W Wang Proceedings of the 30th ACM International Conference on Information …, 2021 | 3 | 2021 |
| Learning Stochastic Equivalence based on Discrete Ricci Curvature. X Guo, Q Tian, W Zhang, W Wang, P Jiao IJCAI, 1456-1462, 2021 | 3 | 2021 |
| Graph Contrastive Learning via Interventional View Generation Z Wo, M Shao, W Wang, X Guo, L Lin Proceedings of the ACM on Web Conference 2024, 1024-1034, 2024 | 2 | 2024 |
| Local Structure and High-Order Feature Preserved Network Embedding Based on Non-Negative Matrix Factorization Q Tian, L Pan, X Guo, X Li, W Yu, F Li IEEE Access 8, 225967-225980, 2020 | 2 | 2020 |
| Learning accurate neighborhood-and self-information for higher-order relation prediction in Heterogeneous Information Networks J Li, X Guo, P Jiao, W Wang Neurocomputing 613, 128739, 2025 | 1 | 2025 |
| Representation Learning on Heterostructures via Heterogeneous Anonymous Walks X Guo, P Jiao, W Zhang, T Pan, M Jia, D Shi, W Wang IEEE Transactions on Neural Networks and Learning Systems 35 (7), 9538-9552, 2024 | 1 | 2024 |
| Counterfactual learning for higher-order relation prediction in heterogeneous information networks X Guo, J Li, P Jiao, W Zhang, T Li, W Wang Neural Networks 183, 107024, 2025 | | 2025 |
| Learning Node Representations via Sketching the Generative Process with Events Benefits Link Prediction on Heterogeneous Networks X Guo, P Jiao, D Shi, J Li, J Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | | 2025 |
| SEGODE: a structure-enhanced graph neural ordinary differential equation network model for temporal link prediction J Fu, X Guo, J Hou, W Yu, H Shi, Y Zhao Knowledge and Information Systems, 1-28, 2024 | | 2024 |
| Graph Contrastive Learning with Node-Level Accurate Difference P Jiao, K Yu, Q Bao, Y Jiang, X Guo, Z Zhao Fundamental Research, 2024 | | 2024 |
| Disentangled Representation Learning for Structural Role Discovery W Zhang, L Pan, X Guo, P Jiao IEEE Transactions on Computational Social Systems, 2024 | | 2024 |
| HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs H Liu, P Jiao, X Guo, H Wu, M Gao, J Zhang IEEE Transactions on Big Data, 2024 | | 2024 |
| Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction J Hou, X Guo, J Liu, J Li, L Pan, W Wang International Conference on Artificial Neural Networks, 563-575, 2023 | | 2023 |
Pengfei JiaoHangzhou Dianzi UniversityAdresse e-mail validée de hdu.edu.cn