Molecular graph transformer: stepping beyond ALIGNN into long-range interactions

Abstract

Graph Neural Networks (GNNs) have revolutionized material property prediction by learning directly from the structural information of molecules and materials. However, conventional GNN models rely solely on local atomic interactions,...