Knowledge Graph Representation Learning
Knowledge Graph Representation Learning is a computational framework that maps entities and relations within a knowledge graph to low-dimensional vector spaces while preserving semantic structures and enabling relational reasoning through learned embeddings.
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Knowledge Graph Embedding via Dynamic Mapping Matrix
Guoliang Ji, Shizhu He, Liheng Xu et al. · 2015 · 1.9K citations · Full text
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Tsinghua University
Beijing, China
38 h-index
207 publications
35.5K citations

Chinese Academy of Sciences
Beijing, China
35 h-index
218 publications
24.4K citations
University of Chinese Academy of Sciences
Beijing, China
32 h-index
154 publications
10.4K citations
Institute of Information Engineering
Beijing, China
25 h-index
88 publications
14.8K citations
Wuhan University
Wuhan, China
24 h-index
81 publications
3.9K citations
Tencent (China)
Shenzhen, China
22 h-index
59 publications
6.9K citations

Zhejiang University
Hangzhou, China
21 h-index
135 publications
8.3K citations

Peking University
Beijing, China
21 h-index
78 publications
8.1K citations
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Conference · 69 publications · 14.5K citations
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Repository · 148 publications · 8.6K citations
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TKDE · 22 publications · 4K citations
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