Knowledge Graph Evolution is a dynamic process within knowledge representation that involves the systematic modification, expansion, and refinement of a knowledge graph's structure, semantics, and content over time to reflect changing real-world facts, schema advancements, or updated domain understanding.
63
Publications
2.7K
Citations
234
Authors
151
Institutions
Publications per year
2017–2026
45
Parents
Publications
63
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning
Zixuan Li, Xiaolong Jin, Wei Li et al. · 2021 · 311 citations · Full text
Claudio Gutiérrez, Juan Sequeda · Communications of the ACM · 2021 · 167 citations · Full text
A retrospective of knowledge graphs
Jihong Yan, Chengyu Wang, Wenliang Cheng et al. · Frontiers of Computer Science · 2016 · 158 citations
1–5 of 63
Authors
234
- YW
4
h-index
- XC
4
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- XJ
4
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- JS
3
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- JG
3
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1–5 of 234
Institutions
151
University of Chile
Santiago, Chile
4 h-index
5 publications
421 citations
Nanyang Technological University
Singapore, Singapore
4 h-index
8 publications
626 citations
Chinese Academy of Sciences
Beijing, China
3 h-index
13 publications
177 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
17 publications
2.4K citations
Rensselaer Polytechnic Institute
Troy, United States
2 h-index
2 publications
151 citations
The University of Melbourne
Melbourne, Australia
2 h-index
4 publications
106 citations
Sungkyunkwan University
Seoul, South Korea
2 h-index
2 publications
233 citations
Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
2 h-index
2 publications
121 citations
1–8 of 151
Venues
- PLoS ONE
3 publications · 145 citations
3
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- Expert Systems with Applications
3 publications · 76 citations
3
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- Knowledge-Based Systems
2 publications · 93 citations
2
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- IEEE Access
2 publications · 40 citations
2
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- arXiv (Cornell University)
Repository · 2 publications · 27 citations
2
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1–5