Temporal Causal Discovery
Temporal Causal Discovery is a methodological framework within causal discovery that specifically identifies causal relationships from temporal data by leveraging the direction and lagged dependencies inherent in time-ordered observations.
33
Publications
1.4K
Citations
92
Authors
61
Institutions
Publications per year
2017–2026
19
Parents
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University of Technology Sydney
Sydney, Australia
3 h-index
4 publications
261 citations
University of Southern California
Los Angeles, United States
2 h-index
3 publications
148 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
99 citations
Tsinghua University
Beijing, China
2 h-index
4 publications
64 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
94 citations
Cardiff University
Cardiff, United Kingdom
2 h-index
3 publications
162 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
94 citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
2 h-index
4 publications
183 citations
1–8 of 61
AJE · 1 publications · 40 citations
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Repository · 2 publications · 45 citations
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TPAMI · 1 publications · 16 citations
2
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1 publications · 45 citations
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1 publications · 46 citations
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