Satadeep Bhattacharjee

SR-CGCNN: Shared recurrent convolution in crystal graph neural networks for materials property prediction

Crystal graph neural networks predict materials properties by propagating information through local atomic environments. In conventional crystal graph convolutional neural networks (CGCNNs), this propagation depth is increased by stacking independently parameterized convolutional layers. This coupling between message-p...