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Models/PDG2Seq

PDG2Seq

Reported on 12 benchmarks across 1 task

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

Time Series12 results

  • Traffic PredictiononPeMS07
    MAE@1h
    19.28
    best: 18.31 (STD-MAE)
  • Traffic PredictiononPeMSD4
    12 steps MAE
    18.24
    best: 9.168 (Hierarchical-Attention-LSTM (HierAttnLSTM))
  • Traffic PredictiononPeMSD4
    12 steps MAPE
    12.09
    best: 12.76 (STG-NCDE)
  • Traffic PredictiononPeMSD4
    12 steps RMSE
    30.08
    best: 22.844 (Hierarchical-Attention-LSTM (HierAttnLSTM))
  • Traffic PredictiononPeMSD8
    12 steps MAE
    13.6
    best: 9.215 (Hierarchical-Attention-LSTM (HierAttnLSTM))
  • Traffic PredictiononPeMSD8
    12 steps MAPE
    8.99
    best: 9.92 (STG-NCDE)
  • Traffic PredictiononPeMSD8
    12 steps RMSE
    23.37
    best: 22.32 (Hierarchical-Attention-LSTM (HierAttnLSTM))
  • Traffic PredictiononPeMS08
    MAE@1h
    13.6
    best: 13.17 (DTRformer)
  • Traffic PredictiononPeMSD3
    12 steps MAE
    14.62
    best: 13.8 (STD-MAE)
  • Traffic PredictiononPeMSD3
    12 steps MAPE
    14.88
    best: 15.06 (STG-NCDE)
  • Traffic PredictiononPeMSD3
    12 steps RMSE
    25.47
    best: 24.43 (STD-MAE)
  • Traffic PredictiononPeMS04
    12 Steps MAE
    18.24
    best: 17.8 (STD-MAE)