Knowledge Graph Retrieval
Knowledge Graph Retrieval is a computational method that identifies and extracts relevant nodes or subgraphs from a knowledge graph based on a query, distinguished by its reliance on structured semantic relationships to enable precise, context-aware information access within the domain of Semantic Search.
52
Publications
2.2K
Citations
214
Authors
83
Institutions
Publications per year
2017–2026
43
Parents
52
214
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Global Energy Interconnection Research Institute North America, United States
1 publications · 73 citations
1
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1–5 of 214
83
University of California, Santa Barbara
Santa Barbara, United States
3 h-index
7 publications
238 citations

Beijing University of Posts and Telecommunications
Beijing, China
3 h-index
10 publications
148 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
3 publications
44 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
5 publications
195 citations
Hangzhou Dianzi University
Hangzhou, China
2 h-index
5 publications
114 citations
Singapore University of Technology and Design
Singapore, Singapore
1 h-index
4 publications
140 citations
IBM (United States)
Armonk, United States
1 h-index
1 publications
33 citations

Renmin University of China
Beijing, China
1 h-index
5 publications
465 citations
1–8 of 83
Repository · 4 publications · 166 citations
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2 publications · 76 citations
2
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PVLDB · 2 publications · 178 citations
2
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1 publications · 67 citations
1
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1 publications · 20 citations
1
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