Traffic Prediction On Pemsd7 M
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 |
|---|---|---|---|
| pattern-matching-dynamic-memory-network-for-1 | 2.60 | 6.57 | 5.36 |
| graph-neural-controlled-differential | 2.68 | 6.76 | 5.39 |
| pattern-matching-dynamic-memory-network-for-1 | 2.61 | 6.55 | 5.33 |
| spatio-temporal-decoupled-masked-pre-training | 2.52 | 6.35 | 5.20 |
| spatio-temporal-graph-mixformer-for-traffic | 3.002 | 8.01 | 6.331 |
| graph-neural-rough-differential-equations-for | 2.66 | 6.68 | 5.31 |
| a-decomposition-dynamic-graph-convolutional | 2.59 | 6.48 | 5.21 |