code: def test_GNN_multitask_classification():
      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
  
file_path: deepchem/deepchem/models/tests/test_gnn.py
imports: import os
  import pytest
  import numpy
  import deepchem
  from deepchem.feat.molecule_featurizers import SNAPFeaturizer
label_desc: Use image node_id 12 for calling a global function with example usage: test_GNN_multitask_classification() without return types