Embedding Construction

Embedding Construction is a feature construction technique that generates dense, low-dimensional vector representations by preserving semantic relationships among discrete entities through learned mappings in continuous vector spaces.

177

Publications

9.2K

Citations

602

Authors

277

Institutions

Publications per year

2017–2026

104

Authors

602

  1. JW
    Jason Weston

    Meta (Israel), Israel

    5 publications · 1.3K citations

    5

    h-index

  2. AB
    Antoine Bordes

    Meta (Israel), Israel

    3 publications · 952 citations

    3

    h-index

  3. DM
    Damon May

    University of Washington, United States

    2 publications · 78 citations

    2

    h-index

  4. WZ
    Weiming Zhang

    University of Science and Technology of China, China

    2 publications · 57 citations

    2

    h-index

  5. ZZ
    Zhengchao Zhao

    Peking University, China

    2 publications · 379 citations

    2

    h-index

1–5 of 602

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 700 citations

    14

    h-index

  2. Neurocomputing

    5 publications · 98 citations

    5

    h-index

  3. Expert Systems with Applications

    4 publications · 69 citations

    4

    h-index

  4. Information Sciences

    3 publications · 84 citations

    3

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 383 citations

    3

    h-index

1–5