Temporal Knowledge Modeling
Temporal Knowledge Modeling is a computational framework that extends static knowledge representations by explicitly incorporating time-dependent dynamics to model the evolution, validity, and causality of facts in knowledge bases over temporal intervals.
178
Publications
7.6K
Citations
508
Authors
217
Institutions
Publications per year
2017–2026
72
Parents
178
Diachronic Embedding for Temporal Knowledge Graph Completion
Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker et al. · 2020 · 361 citations · Full text
Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs
Woojeong Jin, Meng Qu, Xisen Jin et al. · 2020 · 358 citations · Full text
An interval-based representation of temporal knowledge
James F. Allen · 1981 · 356 citations
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217

Northeastern University
Shenyang, China
6 h-index
24 publications
899 citations
University of Chinese Academy of Sciences
Beijing, China
6 h-index
29 publications
1.7K citations
Stanford University
Stanford, United States
5 h-index
8 publications
163 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
7 publications
650 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
21 publications
1.3K citations

University of Greenwich
London, United Kingdom
3 h-index
4 publications
55 citations
University of Pittsburgh
Pittsburgh, United States
3 h-index
9 publications
148 citations

University of Leicester
Leicester, United Kingdom
3 h-index
3 publications
86 citations
1–8 of 217
5 publications · 152 citations
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4 publications · 142 citations
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3 publications · 76 citations
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3 publications · 42 citations
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Conference · 4 publications · 472 citations
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