515 citations · 1.2k across the 19 of their papers we have counts for
5 papers · 1 filter
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection
Benjamin Steenhoek, Hongyang Gao, Wei Le
Deep learning-based vulnerability detection has shown great performance and, in some studies, outperformed static analysis tools. However, the highest-performing approaches use tok…
On the optimization and generalization of overparameterized implicit neural networks
Tianxiang Gao, Hongyang Gao
Implicit neural networks have become increasingly attractive in the machine learning community since they can achieve competitive performance but use much less computational resour…
Gradient Descent Optimizes Infinite-Depth ReLU Implicit Networks with Linear Widths
Tianxiang Gao, Hongyang Gao
Implicit deep learning has recently become popular in the machine learning community since these implicit models can achieve competitive performance with state-of-the-art deep netw…
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
Zhaoning Yu, Hongyang Gao
We consider feature representation learning problem of molecular graphs. Graph Neural Networks have been widely used in feature representation learning of molecular graphs. However…
MotifExplainer: a Motif-based Graph Neural Network Explainer
Zhaoning Yu, Hongyang Gao
We consider the explanation problem of Graph Neural Networks (GNNs). Most existing GNN explanation methods identify the most important edges or nodes but fail to consider substruct…