code: def test_kernel_and_bias_defaults():
      graph, _ = create_graph_features()
      generator = ClusterNodeGenerator(graph)
      cluster_gcn = ClusterGCN(
          layer_sizes=[2, 2],
          activations=["relu", "relu"],
          generator=generator,
      )
      for layer in cluster_gcn._layers:
          if isinstance(layer, GraphConvolution):
              assert isinstance(
                  layer.kernel_initializer,
                  tf.initializers.GlorotUniform,
              )
              assert isinstance(
                  layer.bias_initializer, tf.initializers.Zeros
              )
              assert layer.kernel_regularizer is None
              assert layer.bias_regularizer is None
              assert layer.kernel_constraint is None
              assert layer.bias_constraint is None
  
file_path: stellargraph/tests/layer/test_cluster_gcn.py
imports: from tensorflow.keras import backend
  from stellargraph.layer.cluster_gcn import *
  from stellargraph.mapper import ClusterNodeGenerator
  from stellargraph.core.graph import StellarGraph
  import pandas
  import numpy
  from tensorflow import keras
  import tensorflow
  import pytest
  from ..test_utils.graphs import create_graph_features
  from ..None import test_utils
label_desc: Use image node_id 5 for calling a global function with example usage: test_kernel_and_bias_defaults() without return types