A Unified Uncertainty Representation for Graph Neural Networks via Doubly-Spectral Stochastic Expansion.

arXiv:2609.35703v1 Announce Type: cross Abstract: Reliable deployment of graph neural networks requires calibration, out-of-distribution (OOD) detection, and robustness to distribution shift, yet existing methods address these needs with separate models and ob