Traffic Forecasting: The Power of Graph Convolutional Networks on… – Towards AI

Originally published on Towards AI. The Graph Convolutional Network (GCN) is a revolutionary development in the field of deep learning, demonstrating its versatility and potential for application in addressing real-world problems. One such challenge is traffic prediction, which is a critical issue in transportation. The ability to adapt GCN algorithms for traffic prediction purposes holds immense promise and has the potential to significantly impact the transportation industry. It is important to note that this post assumes a prior understanding of GCN.