Unveiling Molecular Moieties through Hierarchical Graph Explainability in Drug Discovery and Virtual Screening

The author presents a Graph Neural Network using Graph Convolutional architectures to accurately predict molecular properties and bioactivity. The approach includes a hierarchical Explainable AI technique to identify relevant moieties at different levels.