Concepedia

Low-dimensional Embeddings

Low-Dimensional Embeddings is a type of word embedding that represents words as dense vectors in a continuous vector space with significantly reduced dimensionality compared to the vocabulary size, enabling efficient computation and capturing semantic relationships through proximity in the latent space.

1.3K

Publications

150.4K

Citations

3.9K

Authors

983

Institutions

Publications per year

2017–2026

820

Parents

Publications

1.3K

Distributed Representations of Words and Phrases and their Compositionality

Tomáš Mikolov, Ilya Sutskever, Kai Chen et al. · arXiv (Cornell University) · 2013 · 18.1K citations · Full text

, , +15

node2vec

Aditya Grover, Jure Leskovec · 2016 · 10.9K citations

, , +16

Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

Mikhail Belkin, Partha Niyogi · Neural Computation · 2003 · 7.7K citations

, , +13

Translating embeddings for modeling multi-relational data

Antoine Bordes, Nicolas Usunier, Jason Weston et al. · 2015 · 5.2K citations · Full text

, , +16

Wide & Deep Learning for Recommender Systems

Heng-Tze Cheng, Levent Koç, Jeremiah Harmsen et al. · 2016 · 3.3K citations · Full text

, , +14

1–5 of 1.3K

Authors

3.9K

  1. ZL
    Zhiyuan Liu

    Tsinghua University, China

    12 publications · 2.1K citations

    12

    h-index

  2. MS
    Maosong Sun

    Tsinghua University, China

    10 publications · 1.9K citations

    10

    h-index

  3. PI
    Piotr Indyk

    Massachusetts Institute of Technology, United States

    9 publications · 670 citations

    9

    h-index

  4. PC
    Peng Cui

    Tsinghua University, China

    8 publications · 5.4K citations

    8

    h-index

  5. CS
    Chuan Shi

    Beijing University of Posts and Telecommunications, China

    8 publications · 805 citations

    8

    h-index

1–5 of 3.9K

Institutions

983

  1. Tsinghua University

    Beijing, China

    31 h-index

    120 publications

    28.4K citations

  2. Chinese Academy of Sciences

    Beijing, China

    23 h-index

    89 publications

    7.1K citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    22 h-index

    65 publications

    6.6K citations

  4. Google (United States)

    Mountain View, United States

    21 h-index

    91 publications

    130.3K citations

  5. Stanford University

    Stanford, United States

    20 h-index

    59 publications

    28K citations

  6. Cornell University

    Ithaca, United States

    18 h-index

    38 publications

    7.1K citations

  7. Nanyang Technological University

    Singapore, Singapore

    17 h-index

    41 publications

    2.9K citations

  8. University of Technology Sydney

    Sydney, Australia

    17 h-index

    36 publications

    2.9K citations

1–8 of 983

Venues

  1. arXiv (Cornell University)

    Repository · 169 publications · 32.2K citations

    52

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 40 publications · 4.2K citations

    24

    h-index

  3. Briefings in Bioinformatics

    19 publications · 1.2K citations

    16

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 19 publications · 2.7K citations

    16

    h-index

  5. 15

    h-index

1–5