Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search

Shengli Jiang, Shiyi Qin, Reid C. Van Lehn +2

Graph Neural Networks (GNNs) have emerged as a prominent class of data-driven methods for molecular property prediction. However, a key limitation of typical GNN models is their in…