9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Spatiotemporal-Linear: Towards Universal Multivariate Time Series Forecasting
Aiyinsi Zuo, Haixi Zhang, Zirui Li +1
Within the field of complicated multivariate time series forecasting (TSF), popular techniques frequently rely on intricate deep learning architectures, ranging from transformer-ba…
cs.LG2022★ 9 cited
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting
Ling Chen, Donghui Chen, Zongjiang Shang +4
Multivariate time series (MTS) forecasting plays an important role in the automation and optimization of intelligent applications. It is a challenging task, as we need to consider…