To address these challenges, we propose an innovative fault diagnosis method that integrates zero-shot learning (ZSL) with graph structures to extend diagnostic capabilities from seen to unseen faults ...

Abstract: In this paper, we study the generalization capabilities of geometric graph neural networks (GNNs). We consider GNNs over a geometric graph constructed from a finite set of randomly sampled ...