code: def __init__(self, config: configs.DistanceConfig, **kwargs):
      super(GraphRegularizationEdgeModel, self).__init__(**kwargs)
      self._config = config
  
imports: import functools
  from typing import Dict, Optional, Text
  import graph_nets
  import neural_structured_learning.configs
  import neural_structured_learning.keras
  import neural_structured_learning.lib
  import sonnet.v2
  import tensorflow
label_desc: Use image node_id 1 to create a new GraphRegularizationEdgeModel object from inherited base classes: tf.keras.layers with example: obj = GraphRegularizationEdgeModel(config)