Consistency-regularized graph neural networks for molecular property prediction.

Although graph neural networks (GNNs) have proven powerful in molecular property prediction tasks, they tend to underperform when trained on small datasets. Conventional data augmentation strategies are generally ineffective in this context, as simpl…

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