Geospatial Knowledge Graph Embedding is a computational method that belongs to the class of knowledge graph embedding techniques, distinguished by its incorporation of geospatial semantics and constraints to represent entities and relations in a continuous vector space while preserving spatial hierarchies, proximity, and topological relationships.
3
Publications
145
Citations
7
Authors
9
Institutions
Publications per year
2017–2026
2
Parents
Publications
3
1–5 of 3
Authors
7
- DL
1
h-index
- BB
1
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- JG
1
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- FL
1
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- PF
1
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1–5 of 7
Institutions
9
Rensselaer Polytechnic Institute
Troy, United States
1 h-index
2 publications
56 citations
Geological Survey of Canada
Ottawa, Canada
1 h-index
1 publications
28 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
6 publications
504 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
2 publications
66 citations
National Science Library
Beijing, China
1 h-index
1 publications
33 citations
LinkedIn (United States)
Sunnyvale, United States
1 h-index
1 publications
84 citations
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
Nanjing, China
1 h-index
1 publications
33 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
1 h-index
3 publications
99 citations
1–8 of 9
Venues
- Computers & Geosciences
CAGEO · 1 publications · 28 citations
1
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- Transactions in GIS
1 publications · 84 citations
1
h-index
- ISPRS International Journal of Geo-Information
IJGI · 1 publications · 33 citations
1
h-index
- International Journal of Geographical Information Systems
1 publications · 13 citations
- Intelligent geoengineering.
1 publications · 19 citations
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