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 ...

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 ...

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 ...

Abstract: Videos account for a significant portion of internet traffic, and the presence of noise, whether from compression algorithms, low light, sensor imperfections, deteriorates the video quality.

For 0 ≤ α ≤ 1, Nikiforov proposed to study the spectral properties of the family of matrices Aα(G) = αD(G)+(1−α)A(G) of a graph G, where D(G) is the degree diagonal matrix and A(G) is the adjacency ...

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 ...