Traffic Prediction On Pemsd7
评估指标
12 steps MAE
12 steps MAPE
12 steps RMSE
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | 12 steps MAE | 12 steps MAPE | 12 steps RMSE |
|---|---|---|---|
| graph-neural-controlled-differential | 20.53 | 8.8 | 33.84 |
| pdformer-propagation-delay-aware-dynamic-long | 19.832 | - | - |
| pattern-matching-dynamic-memory-network-for-1 | 19.18 | 7.95 | 33.15 |
| spatio-temporal-adaptive-embedding-makes | 19.14 | 8.01 | 32.60 |
| a-decomposition-dynamic-graph-convolutional | 19.79 | - | - |
| pattern-matching-dynamic-memory-network-for-1 | 19.35 | 8.05 | 33.33 |
| graph-neural-rough-differential-equations-for | 20.45 | 8.65 | 33.73 |
| spatio-temporal-decoupled-masked-pre-training | 18.31 | 7.72 | 31.07 |