EquivariantMultipoleGNN

EquivariantMultipoleGNN is a repository that implements a Graph Neural Network model designed to predict atomic multipoles, which are essential for calculating electrostatic potentials in molecular systems. The model is based on research published in a scientific paper and utilizes a specific dataset for training.