Most real-life networks display non-trivial features concerning their topological structure as well as the pattern of weights associated to their links. In fact, the arrangement of the connections ...

Graph neural networks (GNN) have achieved remarkable success in various domains, yet incomplete node attribute data can significantly impair their performance. Graph completion learning (GCL) methods ...

Let L = D - A be the Laplacian matrix of a graph G of order n. Let t k be the kth largest eigenvalue of L (k = 1,...,n). For the purpose of this month's problem, we call the number [1] R. Grone, R.