UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration

UniMamba is a new unified spatial-temporal forecasting framework that integrates efficient state-space dynamics with attention-based dependency learning to tackle multivariate time series challenges. It employs a Mamba Variate-Channel Encoding Layer and a Spatial Temporal Attention Layer to capture both global temporal dependencies and inter-variate correlations.