STAHGNet reports the lowest MAE, RMSE, and MAPE on PeMSD3, PeMSD4, PeMSD7, and PeMSD8 among the 15 methods it compares against.
Pattern recognition 77, 354–377 (2018)
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STAHGNet: Modeling Hybrid-grained Heterogenous Dependency Efficiently for Traffic Prediction
STAHGNet reports the lowest MAE, RMSE, and MAPE on PeMSD3, PeMSD4, PeMSD7, and PeMSD8 among the 15 methods it compares against.