Intrusion Detection on BoT-IoT
100AccuracyQ-AGNN
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Q-AGNN2026.03 | 100 | 100 | 100 | 100 | 0 | 0 | 100 | |
| GCN2026.03 | 91.67 | 95.24 | 80 | 85 | 0 | 40 | 100 | |
| GAT2026.03 | 91.67 | 95.24 | 80 | 85 | 0 | 40 | 100 | |
| GraphSAGE2026.03 | 91.67 | 95.24 | 80 | 85 | 0 | 40 | 100 | |
| ClusterGCN2026.03 | 91.67 | 95.24 | 80 | 85 | 0 | 40 | 100 | |
| SuperGAT2026.03 | 91.67 | 95.24 | 80 | 85 | 0 | 40 | 100 | |
| TransformerConv2026.03 | 91.67 | 95.24 | 80 | 85 | 0 | 40 | 100 | |
| GINConv2026.03 | 83.33 | 77.78 | 89.47 | 79.83 | 21.05 | 0 | 78.95 | |
| Popoola et al.Rounds/Epochs=92-100 rounds2026.06 | 0.95 | — | — | 0.92 | — | — | — | |
| Popoola et al.Rounds/Epochs=92–100 rounds2026.06 | 0.95 | — | — | 0.92 | — | — | — |