code: def transform(self):
      nodes = list(map(lambda x: x.toPython(), self._ontology.classes))
      node_id = {n: i for i, n in enumerate(nodes)}
      labels = [
          self._ontology.token(value)
          for i, value in enumerate(self._ontology.classes)
      ]
      edges = []
      for i, node in enumerate(nodes):
          children = self._ontology.subClass(node)
          children = [child for child in children if child in nodes]
          children_ids = list(map(lambda x: node_id[x], children))
          for child_id in children_ids:
              edges.append((i, child_id))
      return nodes, labels, edges
  
imports: from abc import ABCMeta, abstractmethod
  from collections import deque
  from itertools import combinations
  import networkx
  import numpy
  from sematch.semantic.ontology import DBpedia
  from sematch.utility import FileIO
  from sematch.semantic.sparql import StatSPARQL
  import math
label_desc: Use image node_id 2 for calling the DBpediaDataTransform obj's underlying member method code with example usage: obj.transform() and returns: nodes,  labels,  edges