Dynamic Graph Representation

Dynamic Graph Representation is a formal model that captures the evolving structure of a graph over time by encoding temporal patterns of node and edge changes within a unified mathematical framework.

327

Publications

17K

Citations

1.2K

Authors

415

Institutions

Publications per year

2017–2026

201

Authors

1.2K

  1. DA
    Daniel Archambault

    Swansea University, United Kingdom

    5 publications · 139 citations

    5

    h-index

  2. LC
    Lei Chen

    Hong Kong University of Science and Technology, Hong Kong SAR China

    4 publications · 138 citations

    4

    h-index

  3. AA
    Aijun An

    York University, Canada

    4 publications · 342 citations

    4

    h-index

  4. SK
    Shima Khoshraftar

    York University, Canada

    4 publications · 342 citations

    4

    h-index

  5. XL
    Xuemin Lin

    UNSW Sydney, Australia

    3 publications · 221 citations

    3

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 27 publications · 1.4K citations

    20

    h-index

  2. Neurocomputing

    7 publications · 172 citations

    7

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 664 citations

    6

    h-index

  4. IEEE Access

    7 publications · 517 citations

    6

    h-index

  5. Proceedings of the VLDB Endowment

    PVLDB · 5 publications · 454 citations

    5

    h-index

1–5