Representing a molecule in a way that captures both its structure and function is central to tasks such as molecular property prediction, drug drug interaction prediction, and drug target interaction ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...