Abstract: This paper studies a graph entropy measure to characterize the structural complexity of directed networks. Since the von Neumann entropy (VNE) has found applications in many tasks by ...

The aim of this research therefore was to streamline the understanding of typical causal structures in both randomized and nonrandomized clinical trials in oncology, presenting concise guidelines for ...

Graclus (latest: Version 1.2) is a fast graph clustering software that computes normalized cut and ratio association for a given undirected graph without any eigenvector computation. This is possible ...

Abstract: This paper investigates the distributed online learning problem under dual time-varying conditions of the objective functions and network topologies. The goal is to enable agents to track ...