Zhixia He

GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models

2024 · arXiv (Cornell University)

Out-of-distribution (OOD) detection poses a significant challenge for Graph Neural Networks (GNNs), particularly in open-world scenarios with varying distribution shifts. Most existing OOD detection methods on graphs primarily focus on identifying instances in test data …