Event Knowledge Graphs

Event Knowledge Graphs is a structured knowledge representation framework that explicitly models events as nodes and their semantic relationships as edges, enabling the formal capture and inference of event-level dynamics within broader spatiotemporal and causal contexts.

86

Publications

4.5K

Citations

271

Authors

117

Institutions

Publications per year

2017–2026

56

Variants

Event-centric Knowledge Graphs

Authors

271

  1. XD
    Xiao Ding

    Harbin Institute of Technology, China

    4 publications · 270 citations

    4

    h-index

  2. CR
    Clare R. Voss

    DEVCOM Army Research Laboratory, United States

    3 publications · 116 citations

    3

    h-index

  3. IT
    Ivan Titov

    University of Amsterdam, Netherlands

    3 publications · 99 citations

    3

    h-index

  4. RT
    Raphaël Troncy

    EURECOM, France

    3 publications · 107 citations

    3

    h-index

  5. ML
    Manling Li

    University of Illinois Urbana-Champaign, United States

    3 publications · 116 citations

    3

    h-index

1–5 of 271

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 163 citations

    3

    h-index

  2. Future Generation Computer Systems

    FGCS · 3 publications · 188 citations

    3

    h-index

  3. Advanced Engineering Informatics

    2 publications · 112 citations

    2

    h-index

  4. Journal of Web Semantics

    2 publications · 200 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 46 citations

    2

    h-index

1–5