Abstract: Graph neural networks (GNNs) have shown remarkable success in various tasks involving relational data. However, their vulnerability to adversarial attacks, especially those targeting the ...

Abstract: This paper explores the applications of Fusion Graph Neural Network (FuGNN) on power distribution systems. FuGNN effectively models dynamic networks with evolving topology and features.