Dynamic Knowledge Graphs
Dynamic Knowledge Graphs is a knowledge graph that explicitly models and incorporates temporal or evolving information to represent changes in entities, relationships, and attributes over time.
70
Publications
2.9K
Citations
266
Authors
124
Institutions
Publications per year
2017–2026
57
Parents
70
Decoupled Multimodal Distilling for Emotion Recognition
Yong Li, Yuanzhi Wang, Zhen Cui · 2023 · 182 citations
Universal Digital Twin - A Dynamic Knowledge Graph
Jethro Akroyd, Sebastian Mosbach, Amit Bhave et al. · Data-Centric Engineering · 2021 · 157 citations · Full text
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit Trivedi, Hanjun Dai, Yichen Wang et al. · arXiv (Cornell University) · 2017 · 107 citations · Full text
1–5 of 70
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124
Nanyang Technological University
Singapore, Singapore
6 h-index
6 publications
335 citations
University of Cambridge
Cambridge, United Kingdom
6 h-index
22 publications
1.3K citations
The Cambridge Centre for Advanced Research and Education in Singapore
Singapore, Singapore
5 h-index
25 publications
1.4K citations
CMCL Innovations (United Kingdom)
Cambridge, United Kingdom
3 h-index
3 publications
268 citations

Peking University
Beijing, China
3 h-index
13 publications
650 citations
Stony Brook University
Stony Brook, United States
2 h-index
4 publications
65 citations
Qilu University of Technology
Jinan, China
2 h-index
7 publications
464 citations
Rutgers Sexual and Reproductive Health and Rights
Utrecht, Netherlands
2 h-index
5 publications
207 citations
1–8 of 124
Repository · 8 publications · 323 citations
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5 publications · 208 citations
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Conference · 4 publications · 139 citations
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2 publications · 40 citations
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2 publications · 69 citations
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1–5