code: def test_save_load(tmpdir):
      layer_sizes = [16, 8]
      activations = ["relu", "relu"]
  
      model = GCNSupervisedGraphClassification(
          layer_sizes=layer_sizes,
          activations=activations,
          generator=generator,
      )
      test_utils.model_save_load(tmpdir, model)
  
file_path: stellargraph/tests/layer/test_graph_classification.py
imports: import numpy
  import tensorflow
  from stellargraph.layer.graph_classification import *
  from stellargraph.layer import SortPooling
  from stellargraph.mapper import PaddedGraphGenerator, FullBatchNodeGenerator
  import pytest
  from ..test_utils.graphs import example_graph_random
  from ..None import test_utils
label_desc: Use image node_id 7 for calling a global function with example usage: test_save_load(tmpdir) without return types