code: def __init__(
      self,
      conv,
      flow,
      dims,
      fanouts,
      metapath,
      encoder,
      add_self_loops=False,
  ):
      super(SingleGNNNet, self).__init__(
          conv=conv,
          flow=flow,
          dims=dims,
          fanouts=fanouts,
          metapath=metapath,
          add_self_loops=add_self_loops,
      )
      self.encoder = encoder
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  import tf_euler
  from tf_euler.python.euler_ops import mp_ops
  from tf_euler.python.mp_utils import utils
  from tf_euler.python.mp_utils.base_gnn import BaseGNNNet
  from tf_euler.python.utils.encoders import ShallowEncoder
label_desc: Use image node_id 1 to create a new SingleGNNNet object from inherited base classes: BaseGNNNet with example: obj = SingleGNNNet(conv, flow, dims, fanouts, metapath, encoder, add__loops)