CaT: Balanced Continual Graph Learning with Graph Condensation. - Yilun Liu 005; Ruihong Qiu; Zi Huang (ICDM, 2023)

PUMA: Efficient Continual Graph Learning with Graph Condensation. - Yilun Liu 005; Ruihong Qiu; Yanran Tang; Hongzhi Yin; Zi Huang (CoRR, 2023)

CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs. - Yanran Tang; Ruihong Qiu; Yilun Liu 005; Xue Li 001; Zi Huang (ECIR (2), 2024)

CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph Augmentation. - Yanran Tang; Ruihong Qiu; Yilun Liu 005; Xue Li 001; Zi Huang (CoRR, 2024)

GCondenser: Benchmarking Graph Condensation. - Yilun Liu 005; Ruihong Qiu; Zi Huang (CoRR, 2024)

PUMA: Efficient Continual Graph Learning for Node Classification With Graph Condensation. - Yilun Liu 005; Ruihong Qiu; Yanran Tang; Hongzhi Yin; Zi Huang (IEEE Trans. Knowl. Data Eng., 2025)