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20232026
most citedExploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

6 citations · 6 across the 6 of their papers we have counts for

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cs.LG2024

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing

Chengqing Yu, Fei Wang, Zezhi Shao +4

Multivariate time series forecasting (MTSF) is crucial for decision-making to precisely forecast the future values/trends, based on the complex relationships identified from histor…