Shaoxun Wang

SDGF: Fusing Static and Multi-Scale Dynamic Correlations for Multivariate Time Series Forecasting

Accurate multivariate time series forecasting hinges on inter-series correlations, which often evolve in complex ways across different temporal scales. Existing methods are limited in modeling these multi-scale dependencies and struggle to capture their intricate and evolving nature. To address this…