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Models/DCRNN

DCRNN

Reported on 7 benchmarks across 1 task · 1 paper · 7 SOTA

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

Time Series7 results

Traffic PredictiononEXPY-TKY
1 step MAE· 2017-07-06
6.04
best: 5.73 (STD-MAE)
SOTA
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting arXiv:1707.01926
Traffic PredictiononEXPY-TKY
3 step MAE· 2017-07-06
6.85
best: 6.41 (STD-MAE)
SOTA
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting arXiv:1707.01926
Traffic PredictiononEXPY-TKY
6 step MAE· 2017-07-06
7.45
best: 6.75 (STD-MAE)
SOTA
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting arXiv:1707.01926
Traffic PredictiononPEMS-BAY
MAE @ 12 step· 2017-07-06
2.07
best: 1.63 (T-Graphormer)
SOTA
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting arXiv:1707.01926
Traffic PredictiononPEMS-BAY
RMSE· 2017-07-06
4.74
best: 3.2 (T-Graphormer)
SOTA
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting arXiv:1707.01926
Traffic PredictiononMETR-LA
MAE @ 12 step· 2017-07-06
3.6
best: 3.08 (TITAN)
SOTA
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting arXiv:1707.01926
Traffic PredictiononMETR-LA
MAE @ 3 step· 2017-07-06
2.77
best: 2.41 (TITAN)
SOTA
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting arXiv:1707.01926