Daohan Su

According to our database, Daohan Su authored at least 14 papers between 2024 and 2026.

Collaborative distances:

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

2026

Toward Effective Multimodal Graph Foundation Model: A Divide-and-Conquer Based Approach.

Sicheng Liu, Xunkai Li, Daohan Su, Ru Zhang, Hongchao Qin, Ronghua Li, Guoren Wang

CoRR, February, 2026

SCASRec: A Self-Correcting and Auto-Stopping Model for Generative Route List Recommendation.

Chao Chen, Longfei Xu, Daohan Su, Tengfei Liu, Hanyu Guo, Yihai Duan, Kaikui Liu, Xiangxiang Chu

CoRR, February, 2026

DOGMA: Weaving Structural Information into Data-centric Single-cell Transcriptomics Analysis.

Ru Zhang, Xunkai Li, Yaxin Deng, Sicheng Liu, Daohan Su, Qiangqiang Dai, Hongchao Qin, Rong-Hua Li, Guoren Wang, Jia Li

CoRR, February, 2026

LION: A Clifford Neural Paradigm for Multimodal-Attributed Graph Learning.

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

CoRR, January, 2026

2025

Toward General Digraph Contrastive Learning: A Dual Spatial Perspective.

Daohan Su, Yang Zhang, Xunkai Li, Rong-Hua Li, Guoren Wang

CoRR, October, 2025

Two Facets of the Same Optimization Coin: Model Degradation and Representation Collapse in Graph Foundation Models.

Xunkai Li, Daohan Su, Sicheng Liu, Ru Zhang, Zhenjun Li, Bing Zhou, Rong-Hua Li, Guoren Wang

CoRR, September, 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, April, 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

Proceedings of the ACM on Web Conference 2025, 2025

DiRW: Path-Aware Digraph Learning for Heterophily.

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 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

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