Knowledge Graph Scalability
Knowledge Graph Scalability is a structural and computational property that characterizes the capacity of a knowledge graph to maintain performance efficiency and representation integrity as its volume, velocity, and variety of data increase progressively.
37
Publications
4.9K
Citations
147
Authors
73
Institutions
Publications per year
2017–2026
30
Parents
37
Industry-scale Knowledge Graphs: Lessons and Challenges
Natasha Noy, Yuqing Gao, Anshu Jain et al. · Queue · 2019 · 258 citations · Full text
Management, Information Technology, Knowledge Management +13
Aurum: A Data Discovery System
Raul Castro Fernandez, Ziawasch Abedjan, Famien Koko et al. · 2018 · 162 citations · Full text
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73
Google (United States)
Mountain View, United States
4 h-index
8 publications
698 citations
Meta (United States)
Menlo Park, United States
2 h-index
2 publications
58 citations
University College London
London, United Kingdom
2 h-index
6 publications
9.4K citations

Shanghai American School
Shanghai, China
2 h-index
12 publications
978 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
2 h-index
3 publications
121 citations
L3S Research Center
Hanover, Germany
2 h-index
3 publications
116 citations

Universidad Politécnica de Madrid
Madrid, Spain
2 h-index
6 publications
277 citations

McGill University
Montreal, Canada
2 h-index
2 publications
163 citations
1–8 of 73
Repository · 2 publications · 65 citations
2
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Conference · 2 publications · 2.5K citations
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FGCS · 2 publications · 47 citations
2
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TKDE · 2 publications · 144 citations
2
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PVLDB · 1 publications · 31 citations
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