%0 Computer Program
%A Das, Bishwadeep
%A Buciulea, Andrei
%D 2024
%T Code underlying the publication: Tensor Graph Decomposition for Temporal Networks
%U 
%R 10.4121/3d04bb7a-d462-483b-8a26-984b0bf4dbfa.v1
%K dynamic graphs
%K decomposition
%K topology inference
%K graph signal processing
%X <p>Research Objective is to find out latent graphs which explain the evolution of dynamic graphs along with smooth graph signals. The data-sets are publicly available online, as indicated in the paper. The data is in .mat format. the file tgd_eff.m contains the main algorithm proposed.</p>
%I 4TU.ResearchData