Research Article
Automatic Traffic Anomaly Detection on the Road Network with Spatial-Temporal Graph Neural Network Representation Learning
Table 2
Notations used in this paper.
| Symbol | Description |
| | Data of different stations at the moment of | | The station’s embedding vector | | Adjacency matrix donates the relationship between node and node | | The candidate relation node set of | | The similarity between the embedding vector of the node and the embedding vector of its candidate node | | The score of the nodes through the graph attention mechanism | | The attention coefficient | | Error value of the site at the time | | A smoothed score will be used to decide on an exception has happened or not |
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