Controllable Robustness Curve Prediction on QSN networks
1.1Error RatePCR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PCRAverage degree <k>=10, RA condition=true2026.02 | 1.1 | 0.017 | |
| iPCRAverage degree <k>=10, RA condition=true2026.02 | 1.1 | 0.016 | |
| PCRAverage degree <k>=8, RA condition=true2026.02 | 1.2 | 0.016 | |
| NCR-HoKAverage degree <k>=10, RA condition=true2026.02 | 1.2 | 0.008 | |
| iPCRAverage degree <k>=5, RA condition=true2026.02 | 1.3 | 0.016 | |
| iPCRAverage degree <k>=8, RA condition=true2026.02 | 1.3 | 0.016 | |
| iPCRAverage degree <k>=Average, RA condition=true2026.02 | 1.3 | 0.016 | |
| NCR-HoKAverage degree <k>=8, RA condition=true2026.02 | 1.3 | 0.009 | |
| PCRAverage degree <k>=Average, RA condition=true2026.02 | 1.4 | 0.016 | |
| NCR-HoKAverage degree <k>=Average, RA condition=true2026.02 | 1.4 | 0.01 | |
| PCRAverage degree <k>=2, RA condition=true2026.02 | 1.5 | 0.015 | |
| iPCRAverage degree <k>=2, RA condition=true2026.02 | 1.5 | 0.015 | |
| NCR-HoKAverage degree <k>=2, RA condition=true2026.02 | 1.5 | 0.011 | |
| NCR-HoKAverage degree <k>=5, RA condition=true2026.02 | 1.5 | 0.011 | |
| PCRAverage degree <k>=5, RA condition=true2026.02 | 1.6 | 0.016 | |
| CRL-SGNNAverage degree <k>=8, RA condition=true2026.02 | 2.3 | 0.029 | |
| CRL-SGNNAverage degree <k>=2, RA condition=true2026.02 | 2.4 | 0.025 | |
| CRL-SGNNAverage degree <k>=Average, RA condition=true2026.02 | 3.4 | 0.038 | |
| CRL-SGNNAverage degree <k>=5, RA condition=true2026.02 | 4.3 | 0.05 | |
| CRL-SGNNAverage degree <k>=10, RA condition=true2026.02 | 4.5 | 0.047 |