Multi-class Classification on ToN-IoT (test)
96.98F1-scoreGTCN-G
Evaluation results
| Method | Links | |
|---|---|---|
| GTCN-GAttention mechanism=6-head, Dropout rate=0.52025.10 | 96.98 | |
| GATMode=Standard2025.10 | 93.89 | |
| E-GraphSAGE-MImplementation=mini-batching, Number of Layers=2, Aggregator=mean, Activation=ReLU, Sampling strategy=2-hop neighborhood, Sample size=8 per hop2025.10 | 91.67 | |
| E-GraphSAGE2025.10 | 90.01 |