Abstract: Coloring a graph is a known and a classical problem in graph theory. It is also a known NP problem. In a graph G, the solution of coloring a graph is about coloring all the vertices of the ...

Abstract: Computing the product of the (binary) adjacency matrix of a large graph with a real-valued vector is an important operation that lies at the heart of various graph analysis tasks, such as ...

Let G be a graph, A(G) be the adjacency matrix of G, and λ(G) the least eigenvalue of A(G). Information is given about the following three quantities: $\lambda_R(G ...

This is designed to be a standalone library written in pure C99. This project was initially an assignment which was supposed to be written in Python. I didn't really think Python was the appropriate ...

I am running multivariate analyses (both TE and MI) in a simulated dataset with 10 variables and known causal structure. I then retrieve the adjacency matrix of the estimated causal graph with results ...