Alexandre AGM Duval

FAENet: Frame Averaging Equivariant GNN for Materials Modeling

Applications of machine learning techniques for materials modeling typically involve functions that are known to be equivariant or invariant to specific symmetries. While graph neural networks (GNNs) have proven successful in such applications, conventional GNN approaches that enforce symmetries via…