code: def __init__(self, dim, activation=tf.nn.relu, **kwargs):
      super(GCNAggregator, self).__init__(**kwargs)
      self.dense = layers.Dense(
          dim, activation=activation, use_bias=False
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tf_euler.python.utils import layers
label_desc: Use image node_id 1 to create a new GCNAggregator object from inherited base classes: layers with example: obj = GCNAggregator(dim, activation)