Abstract: Graph data mining algorithms rely on graph canonical forms to compare different graph structures. These canonical form definitions depend on node and edge labels. In this paper, we introduce ...

An adjacency matrix is a two-dimensional array that stores the edges between two vertices as boolean values. The rows and columns of the matrix represent the vertices of the graph. Let's look at an ...

Abstract: Scaling mechanisms are widely used in practice because of their deployable and foldable characteristics. But the representation of the topological structure and evolution process of the ...

Graphs and networks are powerful tools for representing connections or relationships between objects or people. They belong to a branch of mathematics called graph theory which is quite distinct from ...

We investigate the rank of the adjacency matrix of large diluted random graphs: for a sequence of graphs (G n ) n≥0 converging locally to a Galton—Watson tree T (GWT), we provide an explicit formula ...