Interaction Sparsity

Interaction Sparsity is an interaction feature characterized by a limited density of observable or meaningful interactions within a system, dataset, or network, where the paucity of connections or engagements distinguishes it from denser interaction patterns in the same domain.

30

Publications

1.5K

Citations

130

Authors

63

Institutions

Publications per year

2017–2026

21

Authors

130

  1. MS
    Michael Socolich

    The University of Texas Southwestern Medical Center, United States

    2 publications · 198 citations

    2

    h-index

  2. ZX
    Zitao Xu

    Shenzhen University, China

    2 publications · 44 citations

    2

    h-index

  3. FJ
    Frank J. Poelwijk

    Center for Systems Biology, United States

    2 publications · 198 citations

    2

    h-index

  4. WP
    Weike Pan

    Shenzhen University, China

    2 publications · 44 citations

    2

    h-index

  5. QY
    Qiang Yang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 52 citations

    2

    h-index

1–5 of 130

Venues

  1. Nature Communications

    2 publications · 432 citations

    2

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 83 citations

    2

    h-index

  3. BMC Bioinformatics

    1 publications · 42 citations

    1

    h-index

  4. 1

    h-index

  5. ACM Transactions on Recommender Systems

    1 publications · 18 citations

    1

    h-index

1–5