code: def batched_graph0():
      g1 = dgl.add_self_loop(dgl.graph(([0, 1, 2], [1, 2, 3])))
      g2 = dgl.add_self_loop(dgl.graph(([1, 1], [2, 0])))
      g3 = dgl.add_self_loop(dgl.graph(([0], [1])))
      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 12 for calling a global function with example usage: batched_graph0() and returns: dgl