DST-SGNN uses a Stiefel-manifold-constrained graph Fourier transform and a dynamic graph optimizer to achieve efficient and accurate spatio-temporal forecasting.
Modeling long-and short-term temporal patterns with deep neural networks
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A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting
DST-SGNN uses a Stiefel-manifold-constrained graph Fourier transform and a dynamic graph optimizer to achieve efficient and accurate spatio-temporal forecasting.