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GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
18 May 2024
Chengqing Yu
Fei Wang
Zezhi Shao
Tangwen Qian
Zhao Zhang
Wei Wei
Yongjun Xu
AI4CE
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Papers citing
"GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing"
3 / 3 papers shown
Title
Deep Learning for Time Series Forecasting: A Survey
X. Kong
Zhenghao Chen
Weiyao Liu
Kaili Ning
Lechao Zhang
Syauqie Muhammad Marier
Yichen Liu
Yuhao Chen
Feng Xia
AI4TS
AI4CE
48
3
0
13 Mar 2025
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
Zezhi Shao
Fei Wang
Yongjun Xu
Wei Wei
Chengqing Yu
...
Guangyin Jin
Xin Cao
Gao Cong
Christian S. Jensen
Xueqi Cheng
AI4TS
18
56
0
09 Oct 2023
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CML
BDL
AI4TS
94
11
0
18 Jan 2021
1