code: def test_GNN_regression():
      from deepchem.models.torch_models.gnn import GNNModular
  
      dataset, metric = get_regression_dataset()
      model = GNNModular(task="regression")
      model.fit(dataset, nb_epoch=100)
      scores = model.evaluate(dataset, [metric])
      assert scores["mean_absolute_error"] < 0.2
  
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 10 for calling a global function with example usage: test_GNN_regression() without return types