Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification. - Henan Sun; Xunkai Li; Zhengyu Wu; Daohan Su; Rong-Hua Li; Guoren Wang (ICDE, 2024)

Rethinking Node-wise Propagation for Large-scale Graph Learning. - Xunkai Li; Jingyuan Ma; Zhengyu Wu; Daohan Su; Wentao Zhang 001; Rong-Hua Li; Guoren Wang (WWW, 2024)

DiRW: Path-Aware Digraph Learning for Heterophily. - Daohan Su; Xunkai Li; Zhenjun Li; Yinping Liao; Rong-Hua Li; Guoren Wang (CoRR, 2024)

Towards Data-centric Machine Learning on Directed Graphs: a Survey. - Henan Sun; Xunkai Li; Daohan Su; Junyi Han; Rong-Hua Li; Guoren Wang (CoRR, 2024)

LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning. - Xunkai Li; Meihao Liao; Zhengyu Wu; Daohan Su; Wentao Zhang 001; Ronghua Li; Guoren Wang (Proc. VLDB Endow., 2024)

DCL: Diversified Graph Recommendation With Contrastive Learning. - Daohan Su; Bowen Fan; Zhi Zhang; Haoyan Fu; Zhida Qin (IEEE Trans. Comput. Soc. Syst., 2024)

Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach. - Xunkai Li; Daohan Su; Zhengyu Wu; Guang Zeng 001; Hongchao Qin; Rong-Hua Li; Guoren Wang (WWW, 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)