Dependency Knowledge Graphs

Dependency Knowledge Graphs is a knowledge graph that structurally represents dependencies among software components, artifacts, or systems by explicitly modeling their interconnections, usage relationships, and propagation paths within a unified, machine-readable semantic framework.

30

Publications

1.3K

Citations

93

Authors

46

Institutions

Publications per year

2017–2026

12

Authors

93

  1. YC
    Yufeng Chen

    Beijing Jiaotong University, China

    1 publications · 88 citations

    1

    h-index

  2. ML
    Michael L. Mauldin

    Carnegie Mellon University, United States

    1 publications · 12 citations

    1

    h-index

  3. KC
    Kathleen Creel

    Stanford University, United States

    1 publications · 13 citations

    1

    h-index

  4. JD
    Jiachen Du

    Harbin Institute of Technology, China

    1 publications · 70 citations

    1

    h-index

  5. WX
    Weiyang Xie

    Dalian Institute of Chemical Physics, China

    1 publications · 29 citations

    1

    h-index

1–5 of 93

Venues

  1. International Conference on Information Fusion

    Conference · 2 publications · 116 citations

    2

    h-index

  2. Journal of Bioeconomics

    1 publications · 40 citations

    1

    h-index

  3. Knowledge-Based Systems

    1 publications · 112 citations

    1

    h-index

  4. Advanced Energy Materials

    1 publications · 32 citations

    1

    h-index

  5. Machine Learning

    1 publications · 23 citations

    1

    h-index

1–5