Time-aware Forecasting
Time-Aware Forecasting is a time series prediction methodology that explicitly incorporates irregular temporal intervals and timestamp information into the modeling process to enhance forecasting accuracy for non-uniformly sampled data.
21
Publications
624
Citations
76
Authors
42
Institutions
Publications per year
2017–2026
10
21
Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting
Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa et al. · 2020 · 57 citations
Computing, Computer Science, Finance +17
FAST: Financial News and Tweet Based Time Aware Network for Stock Trading
Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal et al. · 2021 · 36 citations · Full text
Business, Computer Science, Finance +16
1–5 of 21
76
Indraprastha Institute of Information Technology Delhi, India
2 publications · 93 citations
2
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2
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2
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Indraprastha Institute of Information Technology Delhi, India
2 publications · 93 citations
2
h-index
2
h-index
1–5 of 76
42
Dalian University of Technology
Dalian, China
2 h-index
6 publications
204 citations
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
Pisa, Italy
2 h-index
6 publications
122 citations

University of Pisa
Pisa, Italy
2 h-index
6 publications
120 citations
University of Science and Technology of China
Hefei, China
1 h-index
2 publications
64 citations
Dalian University
Dalian, China
1 h-index
2 publications
22 citations
Qatar Airways (Qatar)
Doha, Qatar
1 h-index
2 publications
22 citations
Zhejiang University of Finance and Economics
Hangzhou, China
1 h-index
3 publications
48 citations

Fu Jen Catholic University
Taipei, Taiwan
1 h-index
1 publications
26 citations
1–8 of 42
1 publications · 23 citations
1
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1 publications · 19 citations
1
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1 publications · 10 citations
1
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1 publications · 80 citations
1
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1 publications · 15 citations
1
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1–5