Spatio-temporal Forecasting
Spatio-Temporal Forecasting is a computational prediction task that involves modeling and extrapolating the evolution of spatially distributed phenomena over time, distinguished from purely spatial or purely temporal forecasting by its simultaneous incorporation of both spatial dependencies and temporal dynamics.
549
Publications
38.6K
Citations
2K
Authors
712
Institutions
Publications per year
2017–2026
421
549
Chao Song, Youfang Lin, Shengnan Guo et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · 1.5K citations · Full text
Recurrent Network Models for Human Dynamics
Katerina Fragkiadaki, Sergey Levine, Panna Felsen et al. · 2015 · 898 citations
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Chinese Academy of Sciences
Beijing, China
14 h-index
37 publications
1.8K citations

Shanghai Jiao Tong University
Shanghai, China
13 h-index
29 publications
5.1K citations
Tsinghua University
Beijing, China
13 h-index
32 publications
2.8K citations
National University of Singapore
Singapore, Singapore
13 h-index
34 publications
2.6K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
12 h-index
29 publications
3.9K citations

Southwest Jiaotong University
Chengdu, China
11 h-index
35 publications
3.4K citations
Jingdong (China)
Beijing, China
10 h-index
21 publications
2.1K citations
Aalborg University
Aalborg, Denmark
10 h-index
34 publications
2.4K citations
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Repository · 32 publications · 1K citations
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Conference · 9 publications · 2.1K citations
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