MFSNet: lightweight multi-scale MLP-guided frequency suppression network for multivariate time series forecasting
This paper proposes MFSNet, a lightweight forecasting framework that combines hidden-space multi-scale representation learning with differentiable frequency-domain suppression, and shows its potential as a practical lightweight solution for multivariate time series forecasting.