DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules

Hongwei Du, Jiamin Wang, Jian Hui +2

Generative models generate vast numbers of hypothetical materials, necessitating fast, accurate models for property prediction. Graph Neural Networks (GNNs) excel in this domain bu…