FedGTA: Topology-aware Averaging for Federated Graph Learning. - Xunkai Li; Zhengyu Wu; Wentao Zhang 001; Yinlin Zhu; Ronghua Li; Guoren Wang (Proc. VLDB Endow., 2023)

LoyalDE: Improving the performance of Graph Neural Networks with loyal node discovery and emphasis. - Haotong Wei; Yinlin Zhu; Xunkai Li; Bin Jiang 011 (Neural Networks, 2023)

FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. - Yinlin Zhu; Xunkai Li; Zhengyu Wu; Di Wu 001; Miao Hu 001; Rong-Hua Li (IJCAI, 2024)

OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning. - Xunkai Li; Yinlin Zhu; Boyang Pang; Guochen Yan; Yeyu Yan; Zening Li; Zhengyu Wu; Wentao Zhang 001; Rong-Hua Li; Guoren Wang (CoRR, 2024)

Federated Continual Graph Learning. - Yinlin Zhu; Xunkai Li; Miao Hu 001; Di Wu 001 (CoRR, 2024)

FedPPD: Towards effective subgraph federated learning via pseudo prototype distillation. - Qi Lin; Jishuo Jia; Yinlin Zhu; Xunkai Li; Bin Jiang 011; Meixia Qu (Neural Networks, 2025)

Toward Model-centric Heterogeneous Federated Graph Learning: A Knowledge-driven Approach. - Huilin Lai; Guang Zeng 001; Xunkai Li; Xudong Shen; Yinlin Zhu; Ye Luo; Jianwei Lu; Lei Zhu (CoRR, 2025)

OpenFGL: A Comprehensive Benchmark for Federated Graph Learning. - Xunkai Li; Yinlin Zhu; Boyang Pang; Guochen Yan; Yeyu Yan; Zening Li; Zhengyu Wu; Wentao Zhang 001; Ronghua Li; Guoren Wang (Proc. VLDB Endow., 2025)

Federated Prototype Graph Learning. - Zhengyu Wu; Xunkai Li; Yinlin Zhu; Rong-Hua Li; Guoren Wang; Chenghu Zhou (CoRR, 2025)

Towards Unbiased Federated Graph Learning: Label and Topology Perspectives. - Zhengyu Wu; Boyang Pang; Xunkai Li; Yinlin Zhu; Daohan Su; Bowen Fan; Rong-Hua Li; Guoren Wang; Chenghu Zhou (CoRR, 2025)

FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning. - Zekai Chen; Xunkai Li; Yinlin Zhu; Rong-Hua Li; Guoren Wang (CoRR, 2025)

Rethinking Federated Graph Learning: A Data Condensation Perspective. - Hao Zhang; Xunkai Li; Yinlin Zhu; Lianglin Hu (CoRR, 2025)

Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement. - Yinlin Zhu; Xunkai Li; Jishuo Jia; Miao Hu 001; Di Wu 001; Meikang Qiu (CoRR, 2025)

A Comprehensive Data-centric Overview of Federated Graph Learning. - Zhengyu Wu; Xunkai Li; Yinlin Zhu; Zekai Chen; Guochen Yan; Yanyu Yan; Hao Zhang; Yuming Ai; Xinmo Jin; Rong-Hua Li; Guoren Wang (CoRR, 2025)

FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting. - Zhongzheng Yuan; Lianshuai Guo; Xunkai Li; Yinlin Zhu; Wenyu Wang; Meixia Qu (CoRR, 2025)

Federated Graph Unlearning. - Yuming Ai; Xunkai Li; Jiaqi Chao; Bowen Fan; Zhengyu Wu; Yinlin Zhu; Rong-Hua Li; Guoren Wang (CoRR, 2025)