d5adad4a667886e4790e2cfcf262952034b6f698,demos/node-classification/graphsage-cora-example.py,,test,#Any#Any#Any#Any#Any#,174

Before Change

    Gnx = nx.from_pandas_edgelist(edgelist)
    for nid, f in zip(node_data.index, node_features):
        Gnx.node[nid]["feature"] = f
        Gnx.node[nid]["label"] = "paper"

    // We must also save the target encoding to convert model predictions
    encoder_file = model_file.replace(

After Change

    generator = GraphSAGENodeGenerator(
        G, batch_size, num_samples, seed=42
    )
    all_gen = generator.flow(node_ids, node_targets)

    // Evaluate and print metrics
    all_metrics = model.evaluate_generator(all_gen)

Instances