Chang, Xiao-Wen

6 publications

LoG 2025 Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang

TMLR 2025 Incorporating Spatial Information into Goal-Conditioned Hierarchical Reinforcement Learning via Graph Representations Shuyuan Zhang, Zihan Wang, Xiao-Wen Chang, Doina Precup

NeurIPS 2023 When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup

NeurIPSW 2022 Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks Sitao Luan, Harry Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup

NeurIPS 2022 Revisiting Heterophily for Graph Neural Networks Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup

NeurIPS 2019 Break the Ceiling: Stronger Multi-Scale Deep Graph Convolutional Networks Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup