2025
Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
NeurIPS 2025poster
Out-of-distribution (OOD) node detection in graphs is a critical yet challenging task. Most existing approaches rely heavily on fine-grained labeled data to obtain a pre-trained supervised classifier, inherently assuming the existence of a well-defined pretext classification task. However, when such…