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A Multi-Channel Spatial-Temporal Transformer Model for Traffic Flow Forecasting
Traffic flow forecasting is a crucial task in transportation management and planning.
Hybrid Transformer and Spatial-Temporal Self-Supervised Learning for Long-term Traffic Prediction
Long-term traffic prediction has always been a challenging task due to its dynamic temporal dependencies and complex spatial dependencies.
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