42 citations · 44 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching
Fang Wu, Siyuan Li, Xurui Jin +4
The success of graph neural networks (GNNs) provokes the question about explainability: ``Which fraction of the input graph is the most determinant of the prediction?'' Particularl…
cs.CE2022★ 42 cited
Pre-training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding
Fang Wu, Shuting Jin, Yinghui Jiang +7
The latest biological findings observe that the traditional motionless 'lock-and-key' theory is not generally applicable because the receptor and ligand are constantly moving. None…
eess.IV2021
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images
Qinghao Ye, Yuan Gao, Weiping Ding +8
The world is currently experiencing an ongoing pandemic of an infectious disease named coronavirus disease 2019 (i.e., COVID-19), which is caused by the severe acute respiratory sy…