code: def __init__(self, g, num_classes, bias=False):
      super().__init__()
      self.num_classes = num_classes
      self.g = self.ensure_self_loop(g)
      self.conv = SGConv(
          in_feats=self.in_feats,
          out_feats=self.num_classes,
          k=2,
          cached=True,
          bias=bias,
      )
  
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 1 to create a new SGC object from inherited base classes: tf.keras with example: obj = SGC(g, num_classes, bias)