Graph neural networks (GNNs) are capable of modeling graph data using various types of nodes and edges, and thus can be widely used in the fields of recommender systems and bioinformatics. However, ...

Based on the edge connectivity, more refined connectivities have been proposed. The g g -component edge connectivity cλg(G) c λ g (G) and the h h -extra edge connectivity λh(G) λ h (G) are two ...