Uncertainty quantification for molecular belongings predictions with graph neural structure seek
Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D4DD00088A, Paper Shengli Jiang, Shiyi Qin, Reid C. Van Lehn, Prasanna Balaprakash, Victor M. ZavalaAutoGNNUQ employs neural architecture search to enhance uncertainty quantification for molecular property prediction via graph neural networks.To cite this article before page numbers are assigned, use the