Graph Convolutional Networks for Road Networks
Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen · 2019
The application of machine learning techniques in the setting of road networks holds the potential to facilitate many important transportation applications. Graph Convolutional Networks (GCNs) are neural networks that are capable of leveraging the structure of a network. However, many implicit assumptions of GCNs do not apply to road networks.