code: def _parse_args():
      parser = argparse.ArgumentParser(
          description="Run experiment for Simple Graph Convolution (SGC)"
      )
      parser.add_argument(
          "--dataset", default="cora", help="dataset to run"
      )
      parser.add_argument(
          "--lr", type=float, default=0.2, help="learning rate"
      )
      parser.add_argument(
          "--bias",
          action="store_true",
          default=False,
          help="flag to use bias",
      )
      parser.add_argument(
          "--n-epochs",
          type=int,
          default=100,
          help="number of training epochs",
      )
      parser.add_argument(
          "--weight-decay",
          type=float,
          default=5e-6,
          help="weight for L2 loss",
      )
      return parser.parse_args()
  
imports: import argparse
  import textwrap
  import tensorflow
  import tensorflow_addons
  from dgl.data import CiteseerGraphDataset, CoraGraphDataset, PubmedGraphDataset
  from dgl.nn.tensorflow.conv import SGConv
label_desc: Use image node_id 5 for calling a global function with example usage: _parse_args() and returns: parser