code: def fit(self, *args, **kwargs):
      kwargs["batch_size"] = self.num_nodes
      kwargs["shuffle"] = False
      super().fit(*args, **kwargs)
  
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 9 for calling the SGC obj's underlying member method code with example usage: obj.fit() without return types