Cat: Balanced continual graph learning with graph condensation Y Liu, R Qiu, Z Huang 2023 IEEE International Conference on Data Mining (ICDM), 1157-1162, 2023 | 39 | 2023 |
PUMA: Efficient Continual Graph Learning for Node Classification With Graph Condensation Y Liu, R Qiu, Y Tang, H Yin, Z Huang IEEE Transactions on Knowledge and Data Engineering, 2024 | 10* | 2024 |
GCondenser: Benchmarking Graph Condensation Y Liu, R Qiu, Z Huang arXiv preprint arXiv:2405.14246, 2024 | 6 | 2024 |
CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs Y Tang, R Qiu, Y Liu, X Li, Z Huang European Conference on Information Retrieval, 80-95, 2024 | 6 | 2024 |
CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph Augmentation Y Tang, R Qiu, Y Liu, X Li, Z Huang arXiv preprint arXiv:2405.11791, 2024 | | 2024 |