Akihiro Kishimoto

Revisiting molecular descriptors with TDiMS for interpretable intramolecular interactions based on substructure pairs

Molecular descriptors play a crucial role in representing the structural features of molecules for machine learning-based physical property prediction. However, current descriptors either consider only local aspects of molecular structures or fail to effectively learn nonlocal structural features involving long-distanc...