Guan, Xiaohong

5 publications

ICML 2025 Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics Hongbin Pei, Jingxin Hai, Yu Li, Huiqi Deng, Denghao Ma, Jie Ma, Pinghui Wang, Jing Tao, Xiaohong Guan

AAAI 2024 HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning Hongbin Pei, Taile Chen, Chen A, Huiqi Deng, Jing Tao, Pinghui Wang, Xiaohong Guan

ICML 2024 Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan

NeurIPS 2020 Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding Lin Lan, Pinghui Wang, Xuefeng Du, Kaikai Song, Jing Tao, Xiaohong Guan

IJCAI 2019 Meta Reinforcement Learning with Task Embedding and Shared Policy Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang