Research map / Graph learning / Knowledge and temporal graphs
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use PDFormer instead of ASTGNN | traffic prediction · PeMS04 | MAE: 18.601 -> 18.321 | Helped |
| use PDFormer instead of ASTGNN | traffic prediction · PeMS07 | MAE: 20.616 -> 19.832 | Helped |
| use PDFormer instead of ASTGNN | traffic prediction · PeMS08 | MAE: 14.974 -> 13.583 | Helped |
| use PDFormer instead of ASTGNN | traffic prediction · NYCTaxi inflow | MAE: 13.844 -> 13.152 | Helped |
| use PDFormer instead of ASTGNN | traffic prediction · T-Drive inflow | MAE: 18.798 -> 17.832 | Helped |
| use PDFormer instead of ASTGNN | traffic prediction · CHIBike inflow | MAE: 4.068 -> 3.950 | Helped |
| replace spatial self-attention with GCN (ablation) | PDFormer · PeMS04 and NYCTaxi inflow | MAE | Hurt |
| remove geographic and semantic masks (ablation) | PDFormer · PeMS04 and NYCTaxi inflow | MAE | Hurt |
| remove geographic attention heads (ablation) | PDFormer · PeMS04 and NYCTaxi inflow | MAE | Hurt |
| remove semantic attention heads (ablation) | PDFormer · PeMS04 and NYCTaxi inflow | MAE | Hurt |
| remove delay-aware feature transformation (ablation) | PDFormer · PeMS04 and NYCTaxi inflow | MAE | Hurt |
Closest papers by meaning
- Efficient Traffic Prediction Through Spatio-Temporal Distillation (AAAI 2025 · similarity 0.90)
- SSL-STMFormer Self-Supervised Learning Spatio-Temporal Entanglement Transformer for Traffic Flow Prediction (AAAI 2025 · similarity 0.88)
- Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting (AAAI 2024 · similarity 0.88)
- Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting (AAAI 2025 · similarity 0.88)
- Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction (AAAI 2025 · similarity 0.87)
- Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning (AAAI 2025 · similarity 0.87)
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