Code Vulnerability Detection Based on Graph Neural Network
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16. Juni 2025
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Online veröffentlicht: 16. Juni 2025
Seitenbereich: 62 - 73
DOI: https://doi.org/10.2478/ijanmc-2025-0017
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© 2025 Yege Yang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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TABLE TYPE STYLES
| Parameter | Value |
|---|---|
| Loss Function | CrossEntropyLoss |
| Optimization Algorithm | Adam |
| Learning Rate | 0.0001 |
| Weight Decay | 0.001 |
| Batch Size | 16 |
| Training Epochs | 500 |
| Max Steps | 10000 |