Fig. 6From: Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in moleculesComparison of different I/O methods in HydraGNN. We measure ADIOS data loading time compared with CSV and Pickle with PCQM4Mv2 dataset on SummitBack to article page