Graph Signal Diffusion

Graph Signal Diffusion is a computational framework that models the propagation of signals over a graph structure by leveraging localized diffusion operators to capture the intrinsic topological dynamics of the network.

11

Publications

406

Citations

25

Authors

21

Institutions

Publications per year

2017–2026

9

Authors

25

  1. AR
    Alejandro Ribeiro

    University of Pennsylvania, United States

    4 publications · 94 citations

    4

    h-index

  2. SS
    Santiago Segarra

    Rice University, United States

    3 publications · 78 citations

    3

    h-index

  3. AH
    Ali H. Sayed

    University of California, Los Angeles, United States

    2 publications · 62 citations

    2

    h-index

  4. DP
    Dominique Pastor

    Université de Bretagne Occidentale, France

    2 publications · 161 citations

    2

    h-index

  5. CR
    Cédric Richard

    Centre National de la Recherche Scientifique, France

    2 publications · 62 citations

    2

    h-index

1–5 of 25

Venues

  1. 3

    h-index

  2. IEEE Transactions on Signal Processing

    2 publications · 47 citations

    2

    h-index

  3. Medical Image Analysis

    1 publications · 41 citations

    1

    h-index

  4. IEEE Signal Processing Letters

    1 publications · 17 citations

    1

    h-index

  5. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 149 citations

    1

    h-index

1–5