Temporal Matrix Factorization
Temporal Matrix Factorization is a matrix factorization method that incorporates temporal dynamics by modeling time-evolving latent factors to capture sequential or time-dependent patterns in data.
49
Publications
2.2K
Citations
175
Authors
93
Institutions
Publications per year
2017–2026
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Shanghai Jiao Tong University
Shanghai, China
5 h-index
16 publications
417 citations
Singapore Management University
Singapore, Singapore
3 h-index
8 publications
580 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
6 publications
183 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
5 publications
225 citations
Seoul National University
Seoul, South Korea
3 h-index
4 publications
88 citations
Tianjin University
Tianjin, China
2 h-index
6 publications
120 citations
Huawei Technologies (China)
Shenzhen, China
2 h-index
5 publications
62 citations
Sandia National Laboratories
Albuquerque, United States
2 h-index
3 publications
888 citations
1–8 of 93
2 publications · 83 citations
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3 publications · 46 citations
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2 publications · 67 citations
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