Knowledge editing for large language models: A survey S Wang, Y Zhu, H Liu, Z Zheng, C Chen, J Li ACM Computing Surveys 57 (3), 1-37, 2024 | 103 | 2024 |
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction Y He, Z Zheng, P Soga, Y Zhu, J Li arXiv preprint arXiv:2410.15165, 2024 | 2* | 2024 |
KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models Z Zheng, Y Dong, S Wang, H Liu, Q Wang, J Li 2024 IEEE International Conference on Big Data (BigData), 805-810, 2024 | 1 | 2024 |
A benchmark for fairness-aware graph learning Y Dong, S Wang, Z Lei, Z Zheng, J Ma, C Chen, J Li arXiv preprint arXiv:2407.12112, 2024 | 1 | 2024 |
PyGDebias: A Python Library for Debiasing in Graph Learning Y Dong, Z Lei, Z Zheng, S Wang, J Ma, AJ Huang, C Chen, J Li Companion Proceedings of the ACM on Web Conference 2024, 1019-1022, 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 |