code: def test_ClusterGCN_regularisers():
      G, _ = create_graph_features()
  
      generator = ClusterNodeGenerator(G)
  
      cluster_gcn = ClusterGCN(
          layer_sizes=[2],
          activations=["relu"],
          generator=generator,
          kernel_regularizer=keras.regularizers.l2(),
      )
  
      with pytest.raises(ValueError):
          ClusterGCN(
              layer_sizes=[2],
              activations=["relu"],
              generator=generator,
              kernel_regularizer="fred",
          )
  
      cluster_gcn = ClusterGCN(
          layer_sizes=[2],
          activations=["relu"],
          generator=generator,
          bias_initializer="zeros",
      )
  
      cluster_gcn = ClusterGCN(
          layer_sizes=[2],
          activations=["relu"],
          generator=generator,
          bias_initializer=initializers.zeros(),
      )
  
      with pytest.raises(ValueError):
          ClusterGCN(
              layer_sizes=[2],
              activations=["relu"],
              generator=generator,
              bias_initializer="barney",
          )
  
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 4 for calling a global function with example usage: test_ClusterGCN_regularisers() without return types