| 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 | 20 | 2023 |
| Puma: Efficient continual graph learning with graph condensation Y Liu, R Qiu, Y Tang, H Yin, Z Huang arXiv preprint arXiv:2312.14439, 2023 | 5 | 2023 |
| 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 | 3 | 2024 |
| GCondenser: Benchmarking Graph Condensation Y Liu, R Qiu, Z Huang arXiv preprint arXiv:2405.14246, 2024 | 1 | 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 |
Ruihong QiuThe University of Queensland在 uq.edu.au 的电子邮件经过验证
Ruihong QiuThe University of Queensland在 uq.edu.au 的电子邮件经过验证
Professor Zi (Helen) HuangUniversity of Queensland在 itee.uq.edu.au 的电子邮件经过验证