IEEE

Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection

Abstract: Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, ...
IEEE

Generalizing Graph Neural Networks on Out-of-Distribution Graphs

Abstract: Graph Neural Networks (GNNs) are proposed without considering the agnostic distribution shifts between training graphs and testing graphs, inducing the degeneration of the generalization ...