Graph-Based Knowledge Representation is a knowledge representation formalism that employs graph structures—comprising nodes, edges, and associated semantics—to model entities, their attributes, and interrelationships, thereby enabling explicit, structured, and inferentially tractable encodings of domain knowledge.
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2017–2026
620
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Publications
870
Knowledge Graph Embedding via Dynamic Mapping Matrix
Guoliang Ji, Shizhu He, Liheng Xu et al. · 2015 · 1.9K citations · Full text
A Survey on Knowledge Graph-Based Recommender Systems
Qingyu Guo, Fuzhen Zhuang, Chuan Qin et al. · IEEE Transactions on Knowledge and Data Engineering · 2020 · 845 citations · Full text
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819
Chinese Academy of Sciences
Beijing, China
28 h-index
121 publications
20.2K citations
Tsinghua University
Beijing, China
24 h-index
75 publications
6.9K citations
University of Chinese Academy of Sciences
Beijing, China
20 h-index
67 publications
5.1K citations
Wuhan University
Wuhan, China
15 h-index
35 publications
1.2K citations
Beijing University of Posts and Telecommunications
Beijing, China
14 h-index
52 publications
2.1K citations
Beihang University
Beijing, China
13 h-index
37 publications
1.5K citations
University of Edinburgh
Edinburgh, United Kingdom
13 h-index
24 publications
2.2K citations
Zhejiang University
Hangzhou, China
13 h-index
58 publications
3K citations
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- arXiv (Cornell University)
Repository · 71 publications · 5K citations
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 24 publications · 2.1K citations
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- Knowledge-Based Systems
23 publications · 987 citations
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- IEEE Transactions on Knowledge and Data Engineering
TKDE · 20 publications · 5.2K citations
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- IEEE Access
18 publications · 635 citations
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