Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules

Jong Youl Choi, Pei Zhang, Kshitij Mehta +2

Graph Convolutional Neural Network (GCNN) is a popular class of deep learning (DL) models in material science to predict material properties from the graph representation of molecu…