code: def test_SDNE():
      if tf.__version__ >= "1.15.0":
          return  # todo
      G = nx.read_edgelist(
          "./tests/Wiki_edgelist.txt",
          create_using=nx.DiGraph(),
          nodetype=None,
          data=[("weight", int)],
      )
  
      model = SDNE(
          G,
          hidden_size=[8, 4],
      )
      model.train(batch_size=2, epochs=1, verbose=2)
      embeddings = model.get_embeddings()
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_SDNE() without return types