2026
Enhancing Chemical Explainability Through Counterfactual Masking
AAAI 2026technical
Molecular property prediction is a crucial task that guides the design of new compounds, including drugs and materials. While explainable artificial intelligence methods aim to scrutinize model predictions by identifying influential molecular substructures, many existing approaches rely on masking s