Chenqing Hua

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Betweenness Centrality

Probabilistic Graphical Models

Tensor Decomposition

Top Venues

COMPLEX NETWORKS (1)

Publications

Chenqing Hua, Connor W. Coley, Guy Wolf, Doina Precup, Shuangjia Zheng
Effective Protein-Protein Interaction Exploration with PPIretrieval. CoRR (2024)
Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. CoRR (2024)
Odin Zhang, Yufei Huang, Shichen Cheng, Mengyao Yu, Xujun Zhang, Haitao Lin, Yundian Zeng, Mingyang Wang, Zhenxing Wu, Huifeng Zhao, Zaixi Zhang, Chenqing Hua, Yu Kang, Sunliang Cui, Peichen Pan, Chang-Yu Hsieh, Tingjun Hou
Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation. CoRR (2024)
Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability. CoRR (2023)
Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability. NeurIPS (2023)
Chenqing Hua, Sitao Luan, Minkai Xu, Rex Ying, Jie Fu, Stefano Ermon, Doina Precup
MUDiff: Unified Diffusion for Complete Molecule Generation. CoRR (2023)
Chenqing Hua, Sitao Luan, Minkai Xu, Zhitao Ying, Jie Fu, Stefano Ermon, Doina Precup
MUDiff: Unified Diffusion for Complete Molecule Generation. LoG (2023)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup
When Do We Need Graph Neural Networks for Node Classification? COMPLEX NETWORKS (1) (2023)
Chenqing Hua
Graph Neural Networks Intersect Probabilistic Graphical Models: A Survey. CoRR (2022)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
Revisiting Heterophily For Graph Neural Networks. CoRR (2022)
Chenqing Hua, Guillaume Rabusseau, Jian Tang
High-Order Pooling for Graph Neural Networks with Tensor Decomposition. NeurIPS (2022)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
Revisiting Heterophily For Graph Neural Networks. NeurIPS (2022)
Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks. CoRR (2022)
Chenqing Hua, Guillaume Rabusseau, Jian Tang
High-Order Pooling for Graph Neural Networks with Tensor Decomposition. CoRR (2022)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup
When Do We Need GNN for Node Classification? CoRR (2022)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? CoRR (2021)
Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks. CoRR (2020)