Spatial-Temporal Graph Convolutional Network with Transfer Learning and Graph Pruning for Accurate Traffic Prediction
A novel Spatial-Temporal Graph Convolutional Network (TL-GPSTGN) model that leverages transfer learning and graph pruning techniques to accurately predict traffic conditions in road networks with limited historical data.