Time-aware Graph Embedding

Time-Aware Graph Embedding is a dynamic network analysis method that captures the evolving structure of temporal graphs by mapping nodes into time-parameterized low-dimensional vector spaces, preserving both topological relationships and temporal dynamics across discrete or continuous time stamps.

9

Publications

786

Citations

37

Authors

20

Institutions

Publications per year

2017–2026

9

Authors

37

  1. ZC
    Ziqiang Cheng

    Zhejiang University, China

    2 publications · 107 citations

    2

    h-index

  2. WH
    Wenjie Hu

    Zhejiang University, China

    2 publications · 107 citations

    2

    h-index

  3. YL
    Yuqi Li

    Peking University, China

    1 publications · 20 citations

    1

    h-index

  4. RA
    Ryan A. Rossi

    Adobe Systems (United States), United States

    1 publications · 63 citations

    1

    h-index

  5. JB
    John Boaz Lee

    Adobe Systems (United States), United States

    1 publications · 63 citations

    1

    h-index

1–5 of 37

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 34 citations

    2

    h-index

  2. 1

    h-index

  3. Information Processing & Management

    1 publications · 60 citations

    1

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 73 citations

    1

    h-index

  5. Pattern Recognition

    1 publications · 27 citations

    1

    h-index

1–5