Enhancing Out-of-Distribution Detection in Molecular Graphs using Diffusion Models

A novel approach called PGR-MOOD that leverages diffusion models to effectively and efficiently detect out-of-distribution (OOD) molecular graphs by generating prototypical graphs and using a strong similarity metric.