Prerequisite Graphs

Prerequisite Graphs is a directed acyclic graph structure that formally represents hierarchical dependencies among academic concepts or skills, wherein nodes denote individual knowledge units and directed edges indicate prerequisite relationships that must be mastered sequentially.

16

Publications

949

Citations

48

Authors

17

Institutions

Publications per year

2017–2026

5

Authors

48

  1. JC
    Jaime Carbonell

    Carnegie Mellon University, United States

    3 publications · 168 citations

    3

    h-index

  2. HL
    Hanxiao Liu

    Carnegie Mellon University, United States

    2 publications · 142 citations

    2

    h-index

  3. PR
    Preston R. Aldrich

    Purdue University West Lafayette, United States

    2 publications · 50 citations

    2

    h-index

  4. FG
    Fabio Gasparetti

    Roma Tre University, Italy

    2 publications · 32 citations

    2

    h-index

  5. WM
    Wanli Ma

    University of Canberra, Australia

    2 publications · 142 citations

    2

    h-index

1–5 of 48

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 88 citations

    2

    h-index

  2. Educational Data Mining

    Conference · 2 publications · 57 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 10 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Artificial Intelligence Research

    JAIR · 1 publications · 53 citations

    1

    h-index

1–5