Pin Chen

MatUQ: a benchmark for uncertainty-aware out-of-distribution materials property prediction with graph neural networks

Abstract Reliable uncertainty quantification (UQ) for graph neural networks (GNNs) under out-of-distribution (OOD) shifts remains insufficiently characterized in materials discovery. Existing benchmarks based on random splits can overestimate model reliability by underrepresentin...