code: def batched_heterograph0():
      g1 = dgl.heterograph(
          {
              ("user", "follows", "user"): ([0, 1], [1, 2]),
              ("user", "follows", "developer"): ([0, 1], [1, 2]),
              ("user", "plays", "game"): ([0, 1, 2, 3], [0, 0, 1, 1]),
          }
      )
      g2 = dgl.heterograph(
          {
              ("user", "follows", "user"): ([0, 1], [1, 2]),
              ("user", "follows", "developer"): ([0, 1], [1, 2]),
              ("user", "plays", "game"): ([0, 1, 2], [0, 0, 1]),
          }
      )
      g3 = dgl.heterograph(
          {
              ("user", "follows", "user"): ([1], [2]),
              ("user", "follows", "developer"): ([0, 1, 2], [0, 2, 2]),
              ("user", "plays", "game"): ([0, 1], [0, 0]),
          }
      )
      return dgl.batch([g1, g2, g3])
  
imports: from collections import defaultdict
  import backend
  import dgl
  import networkx
  import numpy
  import scipy.sparse
label_desc: Use image node_id 22 for calling a global function with example usage: batched_heterograph0() and returns: dgl