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Models/STG-NRDE

STG-NRDE

Reported on 18 benchmarks across 1 task · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Time Series18 results

Traffic PredictiononPeMSD7(M)
12 steps MAE· 2023-03-20
2.66
best: 2.52 (STD-MAE)
SOTA
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD7(M)
12 steps RMSE· 2023-03-20
5.31
best: 5.2 (STD-MAE)
SOTA
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD7(L)
12 steps MAE· 2023-03-20
2.85
best: 2.64 (STD-MAE)
SOTA
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD7
12 steps RMSE· 2023-03-20
33.73
best: 31.07 (STD-MAE)
SOTA
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD3
12 steps MAE· 2023-03-20
15.5
best: 13.8 (STD-MAE)
SOTA
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD3
12 steps RMSE· 2023-03-20
27.06
best: 24.43 (STD-MAE)
SOTA
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD7(M)
12 steps MAPE· 2023-03-20
6.68
best: 8.01 (STGM)
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD4
12 steps MAE· 2023-03-20
19.13
best: 9.168 (Hierarchical-Attention-LSTM (HierAttnLSTM))
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD4
12 steps MAPE· 2023-03-20
12.68
best: 12.76 (STG-NCDE)
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD4
12 steps RMSE· 2023-03-20
30.94
best: 22.844 (Hierarchical-Attention-LSTM (HierAttnLSTM))
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD7(L)
12 steps MAPE· 2023-03-20
7.14
best: 7.31 (STG-NCDE)
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD7(L)
12 steps RMSE· 2023-03-20
5.76
best: 5.5 (STD-MAE)
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD8
12 steps MAE· 2023-03-20
15.32
best: 9.215 (Hierarchical-Attention-LSTM (HierAttnLSTM))
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD8
12 steps MAPE· 2023-03-20
8.9
best: 9.92 (STG-NCDE)
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD8
12 steps RMSE· 2023-03-20
24.72
best: 22.32 (Hierarchical-Attention-LSTM (HierAttnLSTM))
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD7
12 steps MAE· 2023-03-20
20.45
best: 18.31 (STD-MAE)
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD7
12 steps MAPE· 2023-03-20
8.65
best: 8.8 (STG-NCDE)
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909
Traffic PredictiononPeMSD3
12 steps MAPE· 2023-03-20
14.9
best: 15.06 (STG-NCDE)
Graph Neural Rough Differential Equations for Traffic Forecasting arXiv:2303.10909