Hydrogen storage metal-organic framework classification models based on crystal graph convolutional neural networks

•A crystal graph convolutional neural network for classifying metal–organic frameworks.•The model exhibits a high prediction accuracy for Identifying hydrogen storage materials.•It can be used to classify unseen MOFs for hydrogen storage with high transferability.•The adsorption mechanism of top-performing MOFs for hydrogen storage is elucidated.