Fig. 3From: Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in moleculesHydraGNN workflow to process molecular graph dataset. It performs iterative training phases, consisting of data loading, forward, backward, and optimization stepsBack to article page