Knowledge Graph Explanations

Knowledge Graph Explanations is a recommendable item justification framework that leverages structured knowledge graphs to explicitly trace and articulate the semantic relationships and contextual reasoning paths between user preferences and item recommendations.

82

Publications

5.8K

Citations

291

Authors

126

Institutions

Publications per year

2017–2026

78

Authors

291

  1. GD
    Gerard de Melo

    Rutgers, The State University of New Jersey, United States

    3 publications · 183 citations

    3

    h-index

  2. CW
    Christian Weber

    University of Siegen, Germany

    3 publications · 94 citations

    3

    h-index

  3. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    3 publications · 214 citations

    3

    h-index

  4. DS
    Daria Stepanova

    Max Planck Institute for Informatics, Germany

    3 publications · 94 citations

    3

    h-index

  5. MH
    Mohamed H. Gad-Elrab

    Max Planck Institute for Informatics, Germany

    3 publications · 94 citations

    3

    h-index

1–5 of 291

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 278 citations

    10

    h-index

  2. Knowledge-Based Systems

    6 publications · 231 citations

    6

    h-index

  3. ACM Transactions on Information Systems

    4 publications · 232 citations

    4

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 950 citations

    3

    h-index

  5. Proceedings of the ACM Web Conference 2022

    Conference · 3 publications · 187 citations

    3

    h-index

1–5