code: def test_graph_cross_validation():
      dataset = build_dataset_from_name("imdb-b")
      # first level, 10 folds
      utils.graph_cross_validation(dataset, 10)
  
      # set to fold id
      utils.set_fold(dataset, 1)
  
      # get train split
      train_dataset = utils.graph_get_split(dataset, "train", False)
  
      # further split train to train / val
      utils.graph_random_splits(train_dataset, 0.8, 0.2)
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_graph_cross_validation() without return types