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Dynamic-Graph-Decomposition

Code underlying the publication: Tensor Graph Decomposition for Temporal Networks

2
contributors

Description

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.

Logo of Dynamic-Graph-Decomposition
Keywords
decomposition
dynamic graphs
graph signal processing
topology inference
Programming languages
License
  • MIT
</>Source code
Packages

Reference papers

Contributors

AB
Andrei Buciulea

Member of community

4TU