Event Sequence Modeling

Event Sequence Modeling is a computational framework within event representation that formally captures the temporal, causal, or sequential dependencies among events to distinguish ordered event structures from isolated or unordered occurrences.

172

Publications

7.8K

Citations

577

Authors

267

Institutions

Publications per year

2017–2026

60

Authors

577

  1. HZ
    Hongyuan Zha

    Georgia Institute of Technology, United States

    7 publications · 224 citations

    7

    h-index

  2. JY
    Junchi Yan

    Shanghai Jiao Tong University, China

    5 publications · 110 citations

    5

    h-index

  3. HX
    Hongteng Xu

    Georgia Institute of Technology, United States

    4 publications · 99 citations

    4

    h-index

  4. RG
    Robert Gwadera

    Purdue University West Lafayette, United States

    3 publications · 129 citations

    3

    h-index

  5. HM
    Heikki Mannila

    University of Helsinki, Finland

    3 publications · 78 citations

    3

    h-index

1–5 of 577

Venues

  1. Reliability Engineering & System Safety

    9 publications · 548 citations

    9

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 116 citations

    5

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 108 citations

    4

    h-index

  4. Journal of Mathematical Psychology

    3 publications · 53 citations

    3

    h-index

  5. Organizational Research Methods

    ORM · 3 publications · 94 citations

    3

    h-index

1–5