code: def example_node_augmentation_func(graph, **kwargs):
      """
      compute node clustering coefficient as feature augmentation
      :param graph: deepsnap graph. graph.G is networkx
      :param kwargs: required, in case additional kwargs are provided
      :return: List of node feature values, length equals number of nodes
      Note: these returned values are later processed and treated as node
      features as specified in "cfg.dataset.augment_feature_repr"
      """
      return list(nx.clustering(graph.G).values())
  
label_desc: Use image node_id 1 for calling a global function with example usage: example_node_augmentation_func(graph) and returns: list