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DOI: 10.4121/3d04bb7a-d462-483b-8a26-984b0bf4dbfa

Das, Bishwadeep; Buciulea, Andrei (2024): Code underlying the publication: Tensor Graph Decomposition for Temporal Networks. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/3d04bb7a-d462-483b-8a26-984b0bf4dbfa.v1

Categories

• Electrical and Electronic Engineering
• Engineering

Keywords

decomposition dynamic graphs graph signal processing topology inference

Licence

MIT

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by Bishwadeep Das , Andrei Buciulea

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.

History

• 2024-11-13 first online, published, posted

Publisher

4TU.ResearchData

Format

.m files, .mat files

Associated peer-reviewed publication

Tensor Graph Decomposition for Temporal Networks

Code hosting project url

https://github.com/BD26992/Dynamic-Graph-Decomposition

Funding

• Graph Signal Processing in Action (grant code 19497) NWO

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems