Matlab codes related to "Weighted network estimation by the use of topological graph metrics"

Matlab code related to the article "Weighted network estimation by the use of topological graph metrics" by L. Spyrou & J. Escudero, IEEE Transactions on Network Science and Engineering. Topological metrics of graphs provide a natural way to describe the prominent features of various types of networks. Graph metrics describe the structure and interplay of graph edges and have found applications in many scientific fields. In this work, the use of graph metrics is employed in network estimation by developing optimisation methods that incorporate prior knowledge of a network's topology. The derivatives of graph metrics are used in gradient descent schemes for weighted undirected network denoising, network completion, and network decomposition. The successful performance of our methodology is shown in a number of toy examples and real-world datasets. Most notably, our work establishes a new link between graph theory, network science and optimisation.

Escudero, Javier; Spyrou, Loukianos. (2018). Matlab codes related to "Weighted network estimation by the use of topological graph metrics", [software]. University of Edinburgh. School of Engineering. Institute for Digital Communications. http://dx.doi.org/10.7488/ds/2369.