Magnetic graph matrices are powerful tools for modeling quantum systems and directed networks, but their application in network analysis has been limited by a lack of combinatorial understanding. We ...

"Graphs are the natural language of relationships. Every social network, every molecule, every knowledge base, and every computation graph in a neural network is a graph — and the mathematics of ...

Abstract: This paper addresses the problem of learning an undirected graph from data gathered at each node. Within Gaussian graphical models (GGM), the topology of such graph can be linked to the ...

Graph enumeration in complex networks encompasses a suite of methods designed to count and characterise substructures such as spanning trees, motifs and subgraphs, offering insights into network ...