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Models/ST-SSL

ST-SSL

Reported on 16 benchmarks across 1 task · 1 paper · 8 SOTA

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

Time Series16 results

  • Traffic PredictiononNYCBike2
    MAE @ in· 2022-12-07
    5.04
    SOTA
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononNYCBike2
    MAE @ out· 2022-12-07
    4.71
    SOTA
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononNYCTaxi
    MAE @ in· 2022-12-07
    11.99
    SOTA
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononNYCTaxi
    MAE @ out· 2022-12-07
    9.78
    SOTA
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononBJTaxi
    MAE @ in· 2022-12-07
    11.31
    SOTA
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononBJTaxi
    MAE @ out· 2022-12-07
    11.4
    SOTA
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononNYCBike1
    MAE @ in· 2022-12-07
    4.94
    SOTA
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononNYCBike1
    MAE @ out· 2022-12-07
    5.26
    SOTA
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononNYCBike2
    MAPE (%) @ in· 2022-12-07
    22.54
    best: 30.73 (STFGNN)
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononNYCBike2
    MAPE (%) @ out· 2022-12-07
    21.17
    best: 29.98 (STFGNN)
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononNYCTaxi
    MAPE (%) @ in· 2022-12-07
    16.38
    best: 24.01 (STFGNN)
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononNYCTaxi
    MAPE (%) @ out· 2022-12-07
    16.86
    best: 23.28 (STFGNN)
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononBJTaxi
    MAPE (%) @ in· 2022-12-07
    15.03
    best: 19.29 (STFGNN)
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononBJTaxi
    MAPE (%) @ out· 2022-12-07
    15.19
    best: 19.41 (STFGNN)
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononNYCBike1
    MAPE (%) @ in· 2022-12-07
    23.69
    best: 32.14 (STFGNN)
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475
  • Traffic PredictiononNYCBike1
    MAPE (%) @ out· 2022-12-07
    24.6
    best: 32.88 (STFGNN)
    Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionarXiv:2212.04475