Research map / Label-efficient and robust learning / Self-supervised and contrastive
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add adaptive heterogeneity-guided structure augmentation instead of random edge addition and removal (ablation) | ST-SSL · Traffic prediction benchmarks | prediction performance | Helped |
| Add adaptive heterogeneity-guided traffic-level augmentation instead of random traffic-volume masking (ablation) | ST-SSL · Traffic prediction benchmarks | prediction performance | Helped |
| Add spatial heterogeneity modeling (ablation) | ST-SSL · Traffic prediction benchmarks | prediction performance | Helped |
| Add temporal heterogeneity modeling (ablation) | ST-SSL · Traffic prediction benchmarks | prediction performance | Helped |
| Use ST-SSL rather than the strongest baseline | Traffic prediction models · NYCBike1, inflow | MAE: 5.17±0.03 -> 4.94±0.02 | Helped |
| Use ST-SSL rather than the strongest baseline | Traffic prediction models · NYCBike2, inflow | MAPE: 27.14±0.14 -> 22.54±0.10 | Helped |
| Use ST-SSL rather than the strongest baseline | Traffic prediction models · NYCTaxi, inflow | MAPE: 18.78±0.04 -> 16.38±0.10 | Helped |
| Use ST-SSL rather than the strongest baseline | Traffic prediction models · BJTaxi, inflow | MAE: 12.12±0.11 -> 11.31±0.03 | Helped |
Closest papers by meaning
- SSL-STMFormer Self-Supervised Learning Spatio-Temporal Entanglement Transformer for Traffic Flow Prediction (AAAI 2025 · similarity 0.94)
- Efficient Traffic Prediction Through Spatio-Temporal Distillation (AAAI 2025 · similarity 0.90)
- Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting (AAAI 2024 · similarity 0.89)
- Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction (AAAI 2025 · similarity 0.88)
- Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting (AAAI 2025 · similarity 0.88)
- Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective (AAAI 2024 · similarity 0.88)
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