Table 8 Comparison of model effects under different GPNN parameters
|  | GPNN Layers = 1 | GPNN Layers = 2 | ||||
|---|---|---|---|---|---|---|
Precision (%) | Recall (%) | F1-Score (%) | Precision (%) | Recall (%) | F1-Score (%) | |
\(m=4\) | 77.97 | 82.07 | 79.97 | 76.77 | 78.72 | 77.73 |
\(m=8\) | 77.04 | 77.99 | 77.53 | 70.75 | 74.45 | 72.19 |
\(m=16\) | 78.25 | 78.72 | 78.49 | 75.76 | 77.69 | 76.71 |