Fig 1.
A Schematic diagram of the overall process.
Fig 2.
Outlier situation.
Fig 3.
Schematic diagram of the graphical convolutional network.
Fig 4.
Feature node diagram structure.
Fig 5.
Graphical attention network.
Fig 6.
Model framework.
Fig 7.
a introduces the Feature graph part, b introduces Gat layer calculation α12 part.
Fig 8.
Characteristic heat map.
Table 1.
Data set dimensions.
Table 2.
Comparison methods.
Table 3.
Comparison of F1-score, Precision, and Recall of anomaly detection models.
Fig 9.
Comparison with traditional methods.
Fig 10.
Comparison with advanced methods.
Fig 11.
F1-scores of different models with different sliding window sizes.
Table 4.
F1-score under the model without different components.
Table 5.
Average training time.