2024
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification
ICML 2024poster
Graph neural networks (GNNs) have advanced the state of the art in various domains. Despite their remarkable success, the uncertainty estimation of GNN predictions remains under-explored, which limits their practical applications especially in risk-sensitive areas. Current works suffer from either i…