def METHOD_NAME():
    from deepchem.models.torch_models.gnn import GNNModular
    dataset, metric = get_multitask_classification_dataset()
    model = GNNModular(task="classification", gnn_type='sage', num_tasks=3)
    model.fit(dataset, nb_epoch=200)
    scores = model.evaluate(dataset, [metric])
    assert scores['mean-roc_auc_score'] >= 0.8