Network Smoothing

Network Smoothing is a computational method in network propagation that integrates local neighborhood information to refine node representations by reducing noise and enhancing structural coherence in graph-structured data.

22

Publications

1.8K

Citations

77

Authors

37

Institutions

Publications per year

2017–2026

16

Authors

77

  1. EL
    Elizaveta Levina

    University of Michigan, United States

    2 publications · 107 citations

    2

    h-index

  2. TH
    Tianjin Huang

    Eindhoven University of Technology, Netherlands

    2 publications · 120 citations

    2

    h-index

  3. DC
    Deli Chen

    The University of Melbourne, Australia

    2 publications · 1.1K citations

    2

    h-index

  4. YP
    Yulong Pei

    Eindhoven University of Technology, Netherlands

    2 publications · 120 citations

    2

    h-index

  5. WV
    Werner van Ipenburg

    Eindhoven University of Technology, Netherlands

    2 publications · 120 citations

    2

    h-index

1–5 of 77

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 239 citations

    6

    h-index

  2. IEEE Transactions on Cybernetics

    1 publications · 75 citations

    1

    h-index

  3. Computers Environment and Urban Systems

    1 publications · 21 citations

    1

    h-index

  4. Network Neuroscience

    NetNeuro · 1 publications · 32 citations

    1

    h-index

  5. Pattern Recognition

    1 publications · 29 citations

    1

    h-index

1–5