Frequency-Guided Dynamic Hypergraph Learning for Traffic Flow Forecasting
FEDHNet, a Frequency-Guided Dynamic Hypergraph Network for traffic flow forecasting, is proposed, showing that FEDHNet achieves competitive forecasting accuracy and multi-horizon performance, together with favorable computational efficiency compared with recent spatiotemporal forecasting baselines.