ST-Hyper combines spatial-temporal pyramid feature extraction with adaptive sparse hypergraph learning and tri-phase propagation to achieve state-of-the-art results on six multivariate time series forecasting benchmarks.
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ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting
ST-Hyper combines spatial-temporal pyramid feature extraction with adaptive sparse hypergraph learning and tri-phase propagation to achieve state-of-the-art results on six multivariate time series forecasting benchmarks.