code: def heterograph0():
      g = dgl.heterograph(
          {
              ("user", "plays", "game"): ([0, 1, 1, 2], [0, 0, 1, 1]),
              ("developer", "develops", "game"): ([0, 1], [0, 1]),
          },
          device=F.cpu(),
      )
      g.nodes["user"].data["h"] = F.copy_to(
          F.randn((g.num_nodes("user"), 3)), F.cpu()
      )
      g.nodes["game"].data["h"] = F.copy_to(
          F.randn((g.num_nodes("game"), 2)), F.cpu()
      )
      g.nodes["developer"].data["h"] = F.copy_to(
          F.randn((g.num_nodes("developer"), 3)), F.cpu()
      )
      g.edges["plays"].data["h"] = F.copy_to(
          F.randn((g.num_edges("plays"), 1)), F.cpu()
      )
      g.edges["develops"].data["h"] = F.copy_to(
          F.randn((g.num_edges("develops"), 5)), F.cpu()
      )
      return g
  
imports: from collections import defaultdict
  import backend
  import dgl
  import networkx
  import numpy
  import scipy.sparse
label_desc: Use image node_id 11 for calling a global function with example usage: heterograph0() and returns: g