Traffic Prediction On Ne Bj
Metrics
12 steps MAE
Results
Performance results of various models on this benchmark
Model Name | 12 steps MAE | Paper Title | Repository |
|---|---|---|---|
| MTGNN | 4.90 | Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks | - |
| AGCRN | 4.99 | Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting | - |
| RGDAN | 4.68 | RGDAN: A random graph diffusion attention network for traffic prediction | |
| GMAN | 4.80 | GMAN: A Graph Multi-Attention Network for Traffic Prediction | - |
| DGCRN | 4.79 | Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution | - |
| Graph WaveNet | 4.99 | Graph WaveNet for Deep Spatial-Temporal Graph Modeling | - |
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