Zhao, Jitao

6 publications

AAAI 2025 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

NeurIPS 2025 One Prompt Fits All: Universal Graph Adaptation for Pretrained Models Yongqi Huang, Jitao Zhao, Dongxiao He, Xiaobao Wang, Yawen Li, Yuxiao Huang, Di Jin, Zhiyong Feng

AAAI 2024 A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng

NeurIPS 2024 Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering Dongxiao He, Lianze Shan, Jitao Zhao, Hengrui Zhang, Zhen Wang, Weixiong Zhang

NeurIPS 2024 FUG: Feature-Universal Graph Contrastive Pre-Training for Graphs with Diverse Node Features Jitao Zhao, Di Jin, Meng Ge, Lianze Shan, Xin Wang, Dongxiao He, Zhiyong Feng

ICML 2023 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