Traffic Prediction On Pems04
Metrics
12 Steps MAE
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | 12 Steps MAE |
|---|---|
| Model 1 | 19.33 |
| pdg2seq-periodic-dynamic-graph-to-sequence | 18.24 |
| spatio-temporal-adaptive-embedding-makes | 18.22 |
| a-gated-mlp-architecture-for-learning | 18.14 |
| spatio-temporal-decoupled-masked-pre-training | 17.80 |
| a-decomposition-dynamic-graph-convolutional | 18.45 |
| a-novel-hybrid-time-varying-graph-neural | 17.99 |
| fastersts-a-faster-spatio-temporal | 18.49 |
| pdformer-propagation-delay-aware-dynamic-long | 18.32 |
| lightcts-a-lightweight-framework-for | - |
| dynamic-trend-fusion-module-for-traffic-flow | 18 |
| adaptive-graph-convolutional-recurrent | 19.83 |