EquiHGNN

EquiHGNN is a framework for scalable rotationally equivariant hypergraph neural networks aimed at improving molecular modeling. It integrates symmetry-aware representations to enhance predictions of molecular properties using various datasets, including QM9 and PCQM4Mv2.