Traffic Prediction On Pemsd4
評価指標
12 steps MAE
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | 12 steps MAE |
|---|---|
| spatio-temporal-decoupled-masked-pre-training | 17.80 |
| pattern-matching-dynamic-memory-network-for-1 | 18.37 |
| pdg2seq-periodic-dynamic-graph-to-sequence | 18.24 |
| when-spatio-temporal-meet-wavelets | 18.50 |
| fastersts-a-faster-spatio-temporal | 18.49 |
| a-novel-hybrid-time-varying-graph-neural | 17.99 |
| graph-neural-controlled-differential | 19.21 |
| a-decomposition-dynamic-graph-convolutional | 18.45 |
| big-data-application-for-network-level-travel | 9.168 |
| pdformer-propagation-delay-aware-dynamic-long | 18.32 |
| graph-neural-rough-differential-equations-for | 19.13 |
| hagcn-network-decentralization-attention | 18.70 |
| pattern-matching-dynamic-memory-network-for-1 | 18.34 |