Automatic Traffic Anomaly Detection on the Road Network with Spatial-Temporal Graph Neural Network Representation Learning

Figure 4

A plot of the node embedding vector encoded by the model. Different colors denote each class. We used the t-SNE and DBSCAN to achieve the dimensionality reduction and clustering.