| Metapath-guided heterogeneous graph neural network for intent recommendation S Fan, J Zhu, X Han, C Shi, L Hu, B Ma, Y Li Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 332 | 2019 |
| A survey on heterogeneous graph embedding: methods, techniques, applications and sources X Wang, D Bo, C Shi, S Fan, Y Ye, PS Yu IEEE Transactions on Big Data, 2020 | 254 | 2020 |
| One2multi graph autoencoder for multi-view graph clustering S Fan, X Wang, C Shi, E Lu, K Lin, B Wang proceedings of the web conference 2020, 3070-3076, 2020 | 175 | 2020 |
| Generalizing graph neural networks on out-of-distribution graphs S Fan, X Wang, C Shi, P Cui, B Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 50 | 2023 |
| Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure S Fan, X Wang, Y Mo, C Shi, J Tang Advances in Neural Information Processing Systems, 2022 | 44 | 2022 |
| Debiased Graph Neural Networks with Agnostic Label Selection Bias S Fan, X Wang, C Shi, K Kuang, N Liu, B Wang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 29 | 2022 |
| Abnormal event detection via heterogeneous information network embedding S Fan, C Shi, X Wang Proceedings of the 27th ACM international conference on information and …, 2018 | 20 | 2018 |
| Decorrelated Clustering with Data Selection Bias X Wang, S Fan, K Kuang, C Shi, J Liu, B Wang Proceedings of the Twenty-Ninth International Conference on International …, 2020 | 14 | 2020 |
| Encrypted traffic classification using graph convolutional networks S Mo, Y Wang, D Xiao, W Wu, S Fan, C Shi Advanced Data Mining and Applications: 16th International Conference, ADMA …, 2020 | 5 | 2020 |
| Directed Acyclic Graph Structure Learning from Dynamic Graphs S Fan, S Zhang, X Wang, C Shi Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 4 | 2022 |
| Graph Fairness Learning under Distribution Shifts Y Li, X Wang, Y Xing, S Fan, R Wang, Y Liu, C Shi AAAI, 2024 | 2 | 2024 |
| Graph Contrastive Invariant Learning from the Causal Perspective Y Mo, X Wang, S Fan, C Shi Thewebconf, 2024 | | 2024 |
Chuan ShiBeijing University of Posts and Telecommunications在 bupt.edu.cn 的电子邮件经过验证
