Chenqing Hua - RankMe

25 papers A* 4Misc 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ECloudGen: leveraging electron clouds as a latent variable to scale up structure-based molecular design. Nat. Comput. Sci. Odin Zhang, Jieyu Jin, Zhenxing Wu, Jintu Zhang, Po Yuan, Yuntao Yu, Haitao Lin, Haiyang Zhong, Xujun Zhang, Chenqing Hua, Weibo Zhao, Zhengshuo Zhang, Kejun Ying, Yufei Huang, Huifeng Zhao, Yu Kang, Peichen Pan, Jike Wang, Dong Guo, Shuangjia Zheng, Chang-Yu Hsieh, Tingjun Hou
2025	Misc	`conf`	Graph Neural Networks Meet Probabilistic Graphical Models: A Survey. ICASSP Chenqing Hua, Sitao Luan, Qian Zhang, Jie Fu, Guy Wolf
2024	J	`jnl`	Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks. CoRR Sitao Luan, Qincheng Lu, Chenqing Hua, Xinyu Wang, Jiaqi Zhu, Xiao-Wen Chang, Guy Wolf, Jian Tang
2024	J	`jnl`	Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation. CoRR 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
2024	J	`jnl`	Effective Protein-Protein Interaction Exploration with PPIretrieval. CoRR Chenqing Hua, Connor W. Coley, Guy Wolf, Doina Precup, Shuangjia Zheng
2024	J	`jnl`	EnzymeFlow: Generating Reaction-specific Enzyme Catalytic Pockets through Flow Matching and Co-Evolutionary Dynamics. CoRR Chenqing Hua, Yong Liu, Dinghuai Zhang, Odin Zhang, Sitao Luan, Kevin K. Yang, Guy Wolf, Doina Precup, Shuangjia Zheng
2024	J	`jnl`	Learning From Graph-Structured Data: Addressing Design Issues and Exploring Practical Applications in Graph Representation Learning. CoRR Chenqing Hua
2024	A*	`conf`	ReactZyme: A Benchmark for Enzyme-Reaction Prediction. NeurIPS Chenqing Hua, Bozitao Zhong, Sitao Luan, Liang Hong, Guy Wolf, Doina Precup, Shuangjia Zheng
2024	J	`jnl`	Reaction-conditioned De Novo Enzyme Design with GENzyme. CoRR Chenqing Hua, Jiarui Lu, Yong Liu, Odin Zhang, Jian Tang, Rex Ying, Wengong Jin, Guy Wolf, Doina Precup, Shuangjia Zheng
2024	J	`jnl`	Reactzyme: A Benchmark for Enzyme-Reaction Prediction. CoRR Chenqing Hua, Bozitao Zhong, Sitao Luan, Liang Hong, Guy Wolf, Doina Precup, Shuangjia Zheng
2024	J	`jnl`	The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. CoRR 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
2023	—	`conf`	MUDiff: Unified Diffusion for Complete Molecule Generation. LoG Chenqing Hua, Sitao Luan, Minkai Xu, Zhitao Ying, Jie Fu, Stefano Ermon, Doina Precup
2023	J	`jnl`	MUDiff: Unified Diffusion for Complete Molecule Generation. CoRR Chenqing Hua, Sitao Luan, Minkai Xu, Rex Ying, Jie Fu, Stefano Ermon, Doina Precup
2023	J	`jnl`	When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability. CoRR Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
2023	A*	`conf`	When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability. NeurIPS Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
2023	—	`conf`	When Do We Need Graph Neural Networks for Node Classification? COMPLEX NETWORKS (1) Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup
2022	J	`jnl`	Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks. CoRR Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup
2022	J	`jnl`	Graph Neural Networks Intersect Probabilistic Graphical Models: A Survey. CoRR Chenqing Hua
2022	A*	`conf`	High-Order Pooling for Graph Neural Networks with Tensor Decomposition. NeurIPS Chenqing Hua, Guillaume Rabusseau, Jian Tang
2022	J	`jnl`	High-Order Pooling for Graph Neural Networks with Tensor Decomposition. CoRR Chenqing Hua, Guillaume Rabusseau, Jian Tang
2022	A*	`conf`	Revisiting Heterophily For Graph Neural Networks. NeurIPS Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
2022	J	`jnl`	Revisiting Heterophily For Graph Neural Networks. CoRR Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
2022	J	`jnl`	When Do We Need GNN for Node Classification? CoRR Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup
2021	J	`jnl`	Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? CoRR Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
2020	J	`jnl`	Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks. CoRR Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup