Research Article
Privacy-Preserving Federated Graph Neural Network Learning on Non-IID Graph Data
Table 2
The results of the federated GAT framework. Cora_noise is the Cora dataset with noisy labels.
| Dataset (classifier) | Client 1 | Client 2 | Client 3 | Client 4 | GLOBAL | LOC | FED | LOC | FED | LOC | FED | LOC | FED |
| Cora (MLP) | 84.4 | 86.3 | 85.7 | 85.8 | 83.1 | 83.8 | 85.7 | 86.0 | +3.01 | Cora (SVC) | 86.1 | 86.7 | 86.5 | 86.0 | 85.6 | 85.0 | 85.4 | 86.0 | +0.1 | Cora_noise (MLP) | 81.4 | 81.0 | 79.0 | 79.5 | 72.2 | 75.9 | 70.6 | 77.3 | +10.4 | Cora_noise (SVC) | 82.0 | 82.4 | 80.0 | 80.8 | 74.5 | 77.4 | 72.3 | 78.3 | +10.1 | CiteSeer (MLP) | 72.3 | 74.7 | 72.8 | 74.1 | 72.8 | 74.3 | 72.7 | 75.0 | +7.51 | CiteSeer (SVC) | 72.8 | 74.5 | 72.3 | 74.3 | 72.1 | 74.3 | 72.1 | 74.1 | +7.82 |
| Cora (full) | MLP | 86.2 | SVC | 86.1 | | CiteSeer (full) | MLP | 74.7 | SVC | 74.8 |
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