Traffic Prediction On Expy Tky 1
Metriken
1 step MAE
3 step MAE
6 step MAE
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | 1 step MAE | 3 step MAE | 6 step MAE | Paper Title | Repository |
|---|---|---|---|---|---|
| GWNet | 5.91 | 6.59 | 6.89 | Graph WaveNet for Deep Spatial-Temporal Graph Modeling | |
| MegaCRN | 5.81 | 6.44 | 6.83 | Spatio-Temporal Meta-Graph Learning for Traffic Forecasting | |
| PM-MemNet | 5.94 | 6.52 | 6.87 | Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting | |
| StemGNN | 6.08 | 6.85 | 7.46 | Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting | |
| AGCRN | 5.99 | 6.68 | 7.11 | Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting | |
| MTGNN | 5.86 | 6.49 | 6.81 | Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks | |
| DCRNN | 6.04 | 6.85 | 7.45 | Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting | |
| STD-MAE | 5.73 | 6.41 | 6.75 | Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting |
0 of 8 row(s) selected.