Skip to main navigation Skip to search Skip to main content

Code underlying the publication: Tensor Graph Decomposition for Temporal Networks

  • B. Das (Creator)
  • A. Buciulea Vlas (Creator)

Dataset

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.
Date made available13 Nov 2024
PublisherTU Delft - 4TU.ResearchData
Date of data production2024 -

Access Dataset

  • 1 Conference contribution

  • Tensor Graph Decomposition for Temporal Networks

    Das, B. & Isufi, E., 2024, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). p. 9901-9905 5 p.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    File
    3   Link opens in a new tab Citations (Scopus)
    86 Downloads (Pure)

Cite this