code: def __init__(
      self,
      dims,
      fanouts,
      metapath,
      feature_idx,
      feature_dim,
      label_idx,
      label_dim,
      max_id=-1,
  ):
      super(SupervisedGraphSage, self).__init__(label_idx, label_dim)
      self.gnn = GNN(
          "sage",
          "sage",
          dims,
          fanouts,
          metapath,
          feature_idx,
          feature_dim,
          max_id=max_id,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  import tf_euler
  from tf_euler.python.mp_utils.base_gnn import BaseGNNNet
  from tf_euler.python.mp_utils.base import SuperviseModel, UnsuperviseModel
label_desc: Use image node_id 1 to create a new SupervisedGraphSage object from inherited base classes: SuperviseModel with example: obj = SupervisedGraphSage(dims, fanouts, metapath, feature_idx, feature_dim, label_idx, label_dim, max_id)