MolDeBERTa: Foundational Model for Molecular Representation Learning
MolDeBERTa is a chemistry-informed self-supervised foundational model built on DeBERTaV2 for learning molecular representations. It accelerates material and drug discovery by encoding molecules based on physico-chemical and substructure information.