Luan, Sitao

12 publications

LoG 2025 Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang
ICLR 2025 Let Your Features Tell the Differences: Understanding Graph Convolution by Feature Splitting Yilun Zheng, Xiang Li, Sitao Luan, Xiaojiang Peng, Lihui Chen
NeurIPSW 2024 EnzymeFlow: Generating Reaction-Specific Enzyme Catalytic Pockets Through Flow Matching and Co-Evolutionary Dynamics Chenqing Hua, Yong Liu, Dinghuai Zhang, Odin Zhang, Sitao Luan, Kevin K Yang, Guy Wolf, Doina Precup, Shuangjia Zheng
NeurIPS 2024 ReactZyme: A Benchmark for Enzyme-Reaction Prediction Chenqing Hua, Bozitao Zhong, Sitao Luan, Liang Hong, Guy Wolf, Doina Precup, Shuangjia Zheng
NeurIPS 2024 What Is Missing for Graph Homophily? Disentangling Graph Homophily for Graph Neural Networks Yilun Zheng, Sitao Luan, Lihui Chen
LoG 2023 MUDiff: Unified Diffusion for Complete Molecule Generation Chenqing Hua, Sitao Luan, Minkai Xu, Zhitao Ying, Jie Fu, Stefano Ermon, 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 2021 A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio
NeurIPSW 2021 A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning Harry Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio
NeurIPS 2019 Break the Ceiling: Stronger Multi-Scale Deep Graph Convolutional Networks Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup