| Rethinking propagation for unsupervised graph domain adaptation M Liu, Z Fang, Z Zhang, M Gu, S Zhou, X Wang, J Bu Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13963 …, 2024 | 17 | 2024 |
| Homophily-enhanced structure learning for graph clustering M Gu, G Yang, S Zhou, N Ma, J Chen, Q Tan, M Liu, J Bu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 13 | 2023 |
| Collaborate to adapt: Source-free graph domain adaptation via bi-directional adaptation Z Zhang, M Liu, A Wang, H Chen, Z Li, J Bu, B He Proceedings of the ACM Web Conference 2024, 664-675, 2024 | 10 | 2024 |
| Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation M Liu, Z Zhang, J Tang, J Bu, B He, S Zhou arXiv preprint arXiv:2407.11052, 2024 | 3 | 2024 |
| Structure enhanced prototypical alignment for unsupervised cross-domain node classification M Liu, Z Zhang, N Ma, M Gu, H Wang, S Zhou, J Bu Neural Networks 177, 106396, 2024 | 2 | 2024 |
