2025
Spatial-Temporal Graph Contrastive Learning with Decreasing Masks for Traffic Flow Forecasting
IROS 2025
In recent years, Contrastive learning has shown great potential in traffic flow prediction tasks. However, existing contrastive learning methods have difficulties in dealing with missing data and noise, and it is difficult to fully capture local and global correlations by relying on a single contras