code: def generate_dummy_graphs(num_graphs: int) -> List[ArrayDict]:
      """Generates dummy graphs with random edges, features and label."""
      all_num_nodes = np.random.randint(low=8, high=11, size=num_graphs)
      all_num_edges = np.random.randint(
          low=10, high=30, size=num_graphs
      )
      return [
          generate_dummy_graph(num_nodes, num_edges)
          for (num_nodes, num_edges) in zip(
              all_num_nodes, all_num_edges
          )
      ]
  
file_path: datasets/tensorflow_datasets/datasets/ogbg_molpcba/dummy_data_generation.py
imports: import collections
  import itertools
  import random
  from typing import Dict, Iterable, List, Text
  from absl import app
  from absl import flags
  from etils import epath
  import numpy
  from tensorflow_datasets.core import utils
  from tensorflow_datasets.core.utils import resource_utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import pandas
label_desc: Use image node_id 3 for calling a global function with example usage: generate_dummy_graphs(num_graphs) and returns: unknown