Traffic Prediction On Pemsd8
Métriques
12 steps MAE
12 steps RMSE
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | 12 steps MAE | 12 steps RMSE |
|---|---|---|
| big-data-application-for-network-level-travel | 9.215 | 22.320 |
| pattern-matching-dynamic-memory-network-for-1 | 13.55 | 23.35 |
| spatio-temporal-decoupled-masked-pre-training | 13.44 | 22.47 |
| pdg2seq-periodic-dynamic-graph-to-sequence | 13.60 | 23.37 |
| graph-neural-rough-differential-equations-for | 15.32 | 24.72 |
| fastersts-a-faster-spatio-temporal | 13.60 | - |
| when-spatio-temporal-meet-wavelets | 13.42 | - |
| a-decomposition-dynamic-graph-convolutional | 14.40 | - |
| a-novel-hybrid-time-varying-graph-neural | 13.24 | - |
| hagcn-network-decentralization-attention | 14.85 | - |
| graph-neural-controlled-differential | 15.45 | 24.81 |
| pattern-matching-dynamic-memory-network-for-1 | 13.40 | 23.22 |
| pdformer-propagation-delay-aware-dynamic-long | 13.58 | - |