Daohan Su

19 papers A* 3A 1Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
DOGMA: Weaving Structural Information into Data-centric Single-cell Transcriptomics Analysis.
CoRR
Ru Zhang, Xunkai Li, Yaxin Deng, Sicheng Liu, Daohan Su, Qiangqiang Dai, Hongchao Qin, Rong-Hua Li, Guoren Wang, Jia Li
2026 J jnl
LION: A Clifford Neural Paradigm for Multimodal-Attributed Graph Learning.
CoRR
Xunkai Li, Zhengyu Wu, Zekai Chen, Henan Sun, Daohan Su, Guang Zeng, Hongchao Qin, Rong-Hua Li, Guoren Wang
2026 J jnl
SCASRec: A Self-Correcting and Auto-Stopping Model for Generative Route List Recommendation.
CoRR
Chao Chen, Longfei Xu, Daohan Su, Tengfei Liu, Hanyu Guo, Yihai Duan, Kaikui Liu, Xiangxiang Chu
2026 J jnl
Toward Effective Multimodal Graph Foundation Model: A Divide-and-Conquer Based Approach.
CoRR
Sicheng Liu, Xunkai Li, Daohan Su, Ru Zhang, Hongchao Qin, Ronghua Li, Guoren Wang
2025 A conf
DiRW: Path-Aware Digraph Learning for Heterophily.
CIKM
Daohan Su, Xunkai Li, Zhenjun Li, Yinping Liao, Rong-Hua Li, Guoren Wang
2025 A* conf
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach.
WWW
Xunkai Li, Daohan Su, Zhengyu Wu, Guang Zeng, Hongchao Qin, Rong-Hua Li, Guoren Wang
2025 J jnl
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach.
CoRR
Xunkai Li, Daohan Su, Zhengyu Wu, Guang Zeng, Hongchao Qin, Rong-Hua Li, Guoren Wang
2025 J jnl
Toward General Digraph Contrastive Learning: A Dual Spatial Perspective.
CoRR
Daohan Su, Yang Zhang, Xunkai Li, Rong-Hua Li, Guoren Wang
2025 J jnl
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives.
CoRR
Zhengyu Wu, Boyang Pang, Xunkai Li, Yinlin Zhu, Daohan Su, Bowen Fan, Rong-Hua Li, Guoren Wang, Chenghu Zhou
2025 J jnl
Two Facets of the Same Optimization Coin: Model Degradation and Representation Collapse in Graph Foundation Models.
CoRR
Xunkai Li, Daohan Su, Sicheng Liu, Ru Zhang, Zhenjun Li, Bing Zhou, Rong-Hua Li, Guoren Wang
2024 A* conf
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification.
ICDE
Henan Sun, Xunkai Li, Zhengyu Wu, Daohan Su, Rong-Hua Li, Guoren Wang
2024 J jnl
DCL: Diversified Graph Recommendation With Contrastive Learning.
IEEE Trans. Comput. Soc. Syst.
Daohan Su, Bowen Fan, Zhi Zhang, Haoyan Fu, Zhida Qin
2024 J jnl
DiRW: Path-Aware Digraph Learning for Heterophily.
CoRR
Daohan Su, Xunkai Li, Zhenjun Li, Yinping Liao, Rong-Hua Li, Guoren Wang
2024 J jnl
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning.
CoRR
Xunkai Li, Meihao Liao, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang
2024 J jnl
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning.
Proc. VLDB Endow.
Xunkai Li, Meihao Liao, Zhengyu Wu, Daohan Su, Wentao Zhang, Ronghua Li, Guoren Wang
2024 A* conf
Rethinking Node-wise Propagation for Large-scale Graph Learning.
WWW
Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang
2024 J jnl
Rethinking Node-wise Propagation for Large-scale Graph Learning.
CoRR
Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang
2024 J jnl
Towards Data-centric Machine Learning on Directed Graphs: a Survey.
CoRR
Henan Sun, Xunkai Li, Daohan Su, Junyi Han, Rong-Hua Li, Guoren Wang
2023 J jnl
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification.
CoRR
Henan Sun, Xunkai Li, Zhengyu Wu, Daohan Su, Rong-Hua Li, Guoren Wang