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
Parents
177
Learning Structured Embeddings of Knowledge Bases
Antoine Bordes, Jason Weston, Ronan Collobert et al. · 2011 · 861 citations · Full text
Crossing Number is NP-Complete
M. R. Garey, David S. Johnson · SIAM Journal on Algebraic and Discrete Methods · 1983 · 669 citations
Label Embedding Trees for Large Multi-Class Tasks
Samy Bengio, Jason Weston, David Grangier · 2010 · 298 citations
C-Pack: Packed Resources For General Chinese Embeddings
Shitao Xiao, Zheng Liu, Peitian Zhang et al. · 2024 · 269 citations
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277
University of Science and Technology of China
Hefei, China
6 h-index
18 publications
1.1K citations
University of California San Diego
San Diego, United States
6 h-index
8 publications
389 citations

Peking University
Beijing, China
5 h-index
11 publications
1.7K citations
Google (United States)
Mountain View, United States
5 h-index
9 publications
1.9K citations

Zhejiang University
Hangzhou, China
5 h-index
16 publications
398 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
13 publications
548 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
3 publications
106 citations
Cardiff University
Cardiff, United Kingdom
3 h-index
4 publications
196 citations
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Repository · 15 publications · 700 citations
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5 publications · 98 citations
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4 publications · 69 citations
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3 publications · 84 citations
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Conference · 3 publications · 383 citations
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