Chemically Interpretable Explanations for Molecular Property Prediction via Fragment-Level Shapley Values
This work introduces a fragment-level Shapley value framework that enables the exact computation of feature contributions at the level of chemically meaningful fragments for molecular property predictions without relying on sampling or feature imputation.