| Paper | Code | 9 steps MAE | ModelName | ReleaseDate |
|---|---|---|---|---|
| Conditional Temporal Neural Processes with Covariance Loss | ✓ Link | 3.51 | STGCN-Cov | 2021-06-22 |
| Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting | ✓ Link | 3.57 | STGCN(Cheb) | 2017-09-14 |
| Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting | ✓ Link | 3.79 | STGCN(1st) | 2017-09-14 |
| Sequence to Sequence Learning with Neural Networks | ✓ Link | 4.16 | FC-LSTM | 2014-09-10 |
| 4.54 | Linear Support Victor Regression | |||
| 5.04 | Feed-Forward Neural Network | |||
| 6.27 | Auto-Regressive Integrated Moving Average |