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Run GCN training and evaluation
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| model = Net(dataset.num_features, 128, 64).to(device) | |
| optimizer = torch.optim.Adam(params=model.parameters(), lr=0.01) | |
| criterion = torch.nn.BCEWithLogitsLoss() | |
| model = train_link_predictor(model, train_data, val_data, optimizer, criterion) | |
| test_auc = eval_link_predictor(model, test_data) | |
| print(f"Test: {test_auc:.3f}") |
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