Network Embedding By Diffusion

Network Embedding By Diffusion is a network embedding method that generates low-dimensional vector representations of nodes by preserving the multi-step diffusion dynamics inherent in the network structure, thereby capturing both local and global connectivity patterns through the propagation of information across edges.

9

Publications

612

Citations

39

Authors

24

Institutions

Publications per year

2017–2026

8

Authors

39

  1. AG
    Alessandra Griffa

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 99 citations

    2

    h-index

  2. RF
    Richard F. Betzel

    Indiana University Bloomington, United States

    2 publications · 99 citations

    2

    h-index

  3. BM
    Bratislav Mišić

    Montreal Neurological Institute and Hospital, Canada

    2 publications · 99 citations

    2

    h-index

  4. MA
    Marcel A. de Reus

    University Medical Center Utrecht, Netherlands

    2 publications · 99 citations

    2

    h-index

  5. MP
    Martijn P. van den Heuvel

    University Medical Center Utrecht, Netherlands

    2 publications · 99 citations

    2

    h-index

1–5 of 39

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 48 citations

    2

    h-index

  2. Social Networks

    1 publications · 13 citations

    1

    h-index

  3. Cerebral Cortex

    1 publications · 82 citations

    1

    h-index

  4. Computers in Biology and Medicine

    1 publications · 22 citations

    1

    h-index

  5. Scientometrics

    1 publications · 27 citations

    1

    h-index

1–5