PUMA: Efficient Continual Graph Learning for Node Classification With Graph Condensation.
IEEE Trans. Knowl. Data Eng., January, 2025
CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph Augmentation.
CoRR, 2024
CaseLink: Inductive Graph Learning for Legal Case Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs.
Proceedings of the Advances in Information Retrieval, 2024
PUMA: Efficient Continual Graph Learning with Graph Condensation.
CoRR, 2023
Prompt-Based Effective Input Reformulation for Legal Case Retrieval.
Proceedings of the Databases Theory and Applications, 2023