| TwiBot-22: Towards Graph-Based Twitter Bot Detection S Feng, Z Tan, H Wan, N Wang, Z Chen, B Zhang, Q Zheng, W Zhang, ... Advances in Neural Information Processing Systems 35, 35254-35269, 2022 | 109 | 2022 |
| Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications X Fu, B Zhang, Y Dong, C Chen, J Li ACM SIGKDD Explorations Newsletter 24 (2), 32-47, 2022 | 80 | 2022 |
| RELIANT: Fair Knowledge Distillation for Graph Neural Networks Y Dong, B Zhang, Y Yuan, N Zou, Q Wang, J Li Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 25 | 2023 |
| Safety in graph machine learning: Threats and safeguards S Wang, Y Dong, B Zhang, Z Chen, X Fu, Y He, C Shen, C Zhang, ... arXiv preprint arXiv:2405.11034, 2024 | 15 | 2024 |
| Towards Certified Unlearning for Deep Neural Networks B Zhang, Y Dong, T Wang, J Li Forty-first International Conference on Machine Learning, 2024 | 11 | 2024 |
| Adversarial Attacks on Fairness of Graph Neural Networks B Zhang, Y Dong, C Chen, Y Zhu, M Luo, J Li International Conference on Learning Representations (ICLR), 2024 | 11 | 2024 |
| IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks Y Dong, B Zhang, Z Lei, N Zou, J Li Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 7 | 2024 |
| Verification of Machine Unlearning is Fragile B Zhang, Z Chen, C Shen, J Li Forty-first International Conference on Machine Learning, 2024 | 7 | 2024 |
| AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach S Yang, B Zhang, S Feng, Z Tan, Q Zheng, J Zhou, M Luo Chinese Intelligent Automation Conference, 542-552, 2023 | 6 | 2023 |
| Tackling the Local Bias in Federated Graph Learning B Zhang, M Luo, S Feng, Z Liu, J Zhou, Q Zheng arXiv preprint arXiv:2110.12906, 2021 | 5* | 2021 |
| Federated graph learning with structure proxy alignment X Fu, Z Chen, B Zhang, C Chen, J Li Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 4 | 2024 |
| ELEGANT: Certified defense on the fairness of graph neural networks Y Dong, B Zhang, H Tong, J Li arXiv preprint arXiv:2311.02757, 2023 | 4 | 2023 |
| Understanding and Modeling Job Marketplace with Pretrained Language Models Y Zhu, L Wu, B Zhang, S Wang, Q Guo, L Hong, L Simon, J Li Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 2 | 2024 |
| Federated Graph Learning with Graphless Clients X Fu, S Wang, Y Dong, B Zhang, C Chen, J Li Transactions of Machine Learning Research (TMLR), 2024 | 1 | 2024 |
| Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion B Zhang, Z Zheng, Z Chen, J Li arXiv preprint arXiv:2502.00264, 2025 | | 2025 |
| Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating B Zhang, Z Chen, Z Zheng, J Li, H Chen arXiv preprint arXiv:2502.00158, 2025 | | 2025 |
| Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning X Fu, Z Chen, Y He, S Wang, B Zhang, C Chen, J Li arXiv preprint arXiv:2412.19229, 2024 | | 2024 |
Jundong LiAssistant Professor, University of VirginiaOverená e-mailová adresa na: virginia.edu