| Unsupervised domain adaptive graph convolutional networks M Wu, S Pan, C Zhou, X Chang, X Zhu Proceedings of The Web Conference 2020, 1457-1467, 2020 | 154 | 2020 |
| Domain-adversarial graph neural networks for text classification M Wu, S Pan, X Zhu, C Zhou, L Pan 2019 IEEE International Conference on Data Mining (ICDM), 648-657, 2019 | 42 | 2019 |
| Deep learning data augmentation for Raman spectroscopy cancer tissue classification M Wu, S Wang, S Pan, AC Terentis, J Strasswimmer, X Zhu Scientific reports 11 (1), 23842, 2021 | 40 | 2021 |
| Openwgl: Open-world graph learning M Wu, S Pan, X Zhu 2020 IEEE international conference on data mining (icdm), 681-690, 2020 | 39 | 2020 |
| Learning graph neural networks with positive and unlabeled nodes M Wu, S Pan, L Du, X Zhu ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (6), 1-25, 2021 | 21 | 2021 |
| Attraction and repulsion: Unsupervised domain adaptive graph contrastive learning network M Wu, S Pan, X Zhu IEEE Transactions on Emerging Topics in Computational Intelligence 6 (5 …, 2022 | 19 | 2022 |
| Long-short distance aggregation networks for positive unlabeled graph learning M Wu, S Pan, L Du, I Tsang, X Zhu, B Du Proceedings of the 28th ACM International Conference on Information and …, 2019 | 19 | 2019 |
| Openwgl: open-world graph learning for unseen class node classification M Wu, S Pan, X Zhu Knowledge and Information Systems 63 (9), 2405-2430, 2021 | 8 | 2021 |
| Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning M Wu, X Zheng, Q Zhang, X Shen, X Luo, X Zhu, S Pan arXiv preprint arXiv:2402.16374, 2024 | | 2024 |
| Temporal Adaptive Aggregation Network for Dynamic Graph Learning M Wu, X Zhu 2022 IEEE International Conference on Big Data (Big Data), 806-811, 2022 | | 2022 |
| Embedding Learning for Complex Dynamic Information Networks M Wu Florida Atlantic University, 2022 | | 2022 |
