Link Prediction

Link Prediction is a graph analytical task that, within the context of networked data, involves inferring the existence of missing or future edges between nodes based on the observed topology and attributes of the network.

2K

Publications

153.4K

Citations

5.4K

Authors

1.3K

Institutions

Publications per year

2017–2026

1.4K

Authors

5.4K

  1. TZ
    Tao Zhou

    University of Electronic Science and Technology of China, China

    22 publications · 7.2K citations

    20

    h-index

  2. NV
    Nitesh V. Chawla

    University of Notre Dame, United States

    23 publications · 4K citations

    19

    h-index

  3. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    28 publications · 1.7K citations

    18

    h-index

  4. JT
    Jiliang Tang

    Michigan State University, United States

    18 publications · 2.2K citations

    16

    h-index

  5. CC
    Charų C. Aggarwal

    IBM (United States), United States

    14 publications · 1.7K citations

    14

    h-index

1–5 of 5.4K

Venues

  1. arXiv (Cornell University)

    Repository · 218 publications · 16.4K citations

    53

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 68 publications · 11.4K citations

    36

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 54 publications · 5.2K citations

    33

    h-index

  4. 32

    h-index

  5. Scientific Reports

    38 publications · 1.7K citations

    24

    h-index

1–5