| 2026 | AAAI | MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training. | Lianze Shan, Jitao Zhao, Dongxiao He, Yongqi Huang, Zhiyong Feng, Weixiong Zhang |
| 2026 | WWW | LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training. | Lianze Shan, Jitao Zhao, Dongxiao He, Siqi Liu, Jiaxu Cui, Weixiong Zhang |
| 2026 | WWW | Topology-Aware Feature Sorting Enables Universal Modeling on Homophilic and Heterophilic Graphs. | Yi Wang, Jitao Zhao, Dongxiao He, Jia Li, Yuxiao Huang, Zhiyong Feng |
| 2026 | WWW | Towards Graph Foundation Model: Node Feature Transfer Invariant Modeling on General Graphs. | Jitao Zhao, Yi Wang, Yawen Li, Dongxiao He, Di Jin, Zhiyong Feng, Weixiong Zhang |
| 2025 | AAAI | Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling. | Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang |
| 2025 | WWW | Str-GCL: Structural Commonsense Driven Graph Contrastive Learning. | Dongxiao He, Yongqi Huang, Jitao Zhao, Xiaobao Wang, Zhen Wang |
| 2024 | AAAI | A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning. | Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng |
| 2023 | ICML | Contrastive Learning Meets Homophily: Two Birds with One Stone. | Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang |