Journal: PLOS One
Article Title: SPectral graph theory And Random walK (SPARK) toolbox for static and dynamic characterization of (di)graphs: A tutorial
doi: 10.1371/journal.pone.0319031
Figure Lengend Snippet: The root folder SPARKtoolbox contains five main subfolders: SPARKtoolbox/RandomWalk, SPARKtoolbox/SpectralGT, SPARKtoolbox/Results, SPARKtoolbox/Examples and SPARKtoolbox/Dependencies. The SPARKtoolbox/RandomWalk and the SPARKtoolbox/SpectralGT subfolders are further subdivided into four leaf-folders with the MATLAB functions for weighted directed, weighted undirected, unweighted directed and unweighted undirected graphs. The SPARKtoolbox/Examples and SPARKtoolbox/Results subfolders contain the MATLAB code and the results for the examples on synthetic data. The MATLAB scripts to import and analyze real data from the UCI repository have also been provided in SPARKtoolbox/Examples. Finally, SPARKtoolbox/Dependencies contains a subset of auxiliary functions used for the analysis of synthetic data.
Article Snippet: In the emerging field of graph signal processing, for example, the Graph Signal Processing Toolbox [ ] is an open-source MATLAB toolbox that can be used to tackle graph-related problems with a signal processing approach.
Techniques: