Research map / Graph learning / Knowledge and temporal graphs
GMAN: A Graph Multi-Attention Network for Traffic Prediction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use GMAN instead of Graph WaveNet | Traffic prediction · Xiamen, 1 hour | MAE: 13.33 -> 12.79 | Helped |
| Use GMAN instead of Graph WaveNet | Traffic prediction · PeMS, 1 hour | MAE: 1.95 -> 1.86 | Helped |
| Use GMAN instead of Graph WaveNet | Traffic prediction · Xiamen, 15 min | MAE: 11.26 -> 11.50 | Hurt |
| Use GMAN instead of Graph WaveNet | Traffic prediction · PeMS, 15 min | MAE: 1.30 -> 1.34 | Hurt |
| Use GMAN instead of Graph WaveNet | Traffic prediction · 30 min, Xiamen and PeMS | MAE: 12.06 -> 12.02; 1.63 -> 1.62 | Helped |
| Add spatial attention (ablation) | GMAN · Traffic prediction, per-step MAE | MAE | Helped |
| Add temporal attention (ablation) | GMAN · Traffic prediction, per-step MAE | MAE | Helped |
| Add gated fusion (ablation) | GMAN · Traffic prediction, per-step MAE | MAE | Helped |
| Add transform attention (ablation) | GMAN · Traffic prediction, especially long-term horizon | MAE | Helped |
Closest papers by meaning
- Efficient Traffic Prediction Through Spatio-Temporal Distillation (AAAI 2025 · similarity 0.89)
- Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting (AAAI 2024 · similarity 0.88)
- TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts (ICLR 2024 · similarity 0.88)
- Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting (AAAI 2025 · similarity 0.88)
- Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning (AAAI 2025 · similarity 0.87)
- Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction (AAAI 2025 · similarity 0.86)
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