code: def test_GraphConvolution_config():
      gcn_layer = GraphConvolution(units=16)
      conf = gcn_layer.get_config()
  
      assert conf["units"] == 16
      assert conf["activation"] == "linear"
      assert conf["use_bias"] == True
      assert conf["kernel_initializer"]["class_name"] == "GlorotUniform"
      assert conf["bias_initializer"]["class_name"] == "Zeros"
      assert conf["kernel_regularizer"] == None
      assert conf["bias_regularizer"] == None
      assert conf["kernel_constraint"] == None
      assert conf["bias_constraint"] == None
  
imports: import stellargraph
  from stellargraph.layer.gcn import *
  from stellargraph.mapper import FullBatchNodeGenerator, FullBatchLinkGenerator
  from stellargraph.core.graph import StellarGraph
  from stellargraph.core.utils import GCN_Aadj_feats_op
  import networkx
  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 1 for calling a global function with example usage: test_GraphConvolution_config() without return types