Validating and Correcting Graph Neural Network Attention for Drug-Induced Liver Injury Prediction
Abstract Attention-based graph neural networks (GNNs) are increasingly used for drug-induced liver injury (DILI) and other toxicity prediction tasks on the claimed strength of built-in interpretability, but this claim is almost always supported by a handful of hand-selected examples rather than being tested systematica...