Daohan Su

According to our database, Daohan Su authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach.

Xunkai Li, Daohan Su, Zhengyu Wu, Guang Zeng, Hongchao Qin, Rong-Hua Li, Guoren Wang

CoRR, January, 2025

2024

DCL: Diversified Graph Recommendation With Contrastive Learning.

Daohan Su, Bowen Fan, Zhi Zhang, Haoyan Fu, Zhida Qin

IEEE Trans. Comput. Soc. Syst., June, 2024

LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning.

Xunkai Li, Meihao Liao, Zhengyu Wu, Daohan Su, Wentao Zhang, Ronghua Li, Guoren Wang

Proc. VLDB Endow., March, 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

DiRW: Path-Aware Digraph Learning for Heterophily.

Daohan Su, Xunkai Li, Zhenjun Li, Yinping Liao, Rong-Hua Li, Guoren Wang

CoRR, 2024

Rethinking Node-wise Propagation for Large-scale Graph Learning.

Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang

Proceedings of the ACM on Web Conference 2024, 2024

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

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024