In 2022, Batzner et al. introduced the equivariant GNN model NequIP . NequIP employs equivariant convolutions not only on scalars but also on interactions of geometric tensors, thereby providing a more information-rich atomic representation and improving data efficiency and accuracy. Several other MPNN models include HIP-NN , PaiNN and SpookyNet .