Abstract: With the rapid expansion of power networks and increased integration of renewable energy sources, understanding the structural and operational complexities of large-scale power grids is ...

Abstract: Graph Neural Networks (GNNs) have emerged as a notorious alternative to address learning problems dealing with non-Euclidean datasets. However, although most works assume that the graph is ...