code: def create_large_graph(num_nodes, idtype=F.int64):
      row = np.random.choice(num_nodes, num_nodes * 10)
      col = np.random.choice(num_nodes, num_nodes * 10)
      spm = spsp.coo_matrix((np.ones(len(row)), (row, col)))
      spm.sum_duplicates()
  
      return dgl.from_scipy(spm, idtype=idtype)
  
imports: import math
  import os
  import unittest
  import backend
  import dgl
  import dgl.function
  import dgl.partition
  import networkx
  import numpy
  import pytest
  from scipy import sparse
  from utils import parametrize_idtype
  from utils.graph_cases import get_cases
label_desc: Use image node_id 16 for calling a global function with example usage: create_large_graph(num_nodes, idtype) and returns: dgl