Inductive Logic Programming

Inductive Logic Programming is a subfield of logic programming that employs formal methods to induce general logical rules from specific instances and background knowledge, distinguishing itself by integrating inductive reasoning with symbolic representation within a first-order logic framework.

321

Publications

17.2K

Citations

589

Authors

290

Institutions

Publications per year

2017–2026

47

Authors

589

  1. SM
    Stephen Muggleton

    Imperial College London, United Kingdom

    36 publications · 5.2K citations

    26

    h-index

  2. RD
    Ross D. King

    Aberystwyth University, United Kingdom

    18 publications · 1.1K citations

    15

    h-index

  3. MJ
    Michael J.E. Sternberg

    Imperial College London, United Kingdom

    15 publications · 1K citations

    13

    h-index

  4. LD
    Luc De Raedt

    KU Leuven, Belgium

    15 publications · 3.1K citations

    13

    h-index

  5. SD
    Sašo Džeroski

    Jožef Stefan Institute, Slovenia

    14 publications · 1.1K citations

    12

    h-index

1–5 of 589

Venues

  1. Machine Learning

    12 publications · 422 citations

    12

    h-index

  2. Lirias (KU Leuven)

    Repository · 10 publications · 395 citations

    10

    h-index

  3. arXiv (Cornell University)

    Repository · 10 publications · 310 citations

    10

    h-index

  4. New Generation Computing

    9 publications · 1.3K citations

    9

    h-index

  5. Journal of Artificial Intelligence Research

    JAIR · 8 publications · 404 citations

    8

    h-index

1–5