code: def __init__(
      self,
      dims,
      fanouts,
      metapath,
      feature_idx,
      feature_dim,
      node_type,
      edge_type,
      max_id,
      num_negs=5,
  ):
      super(UnsupervisedGraphSage, self).__init__(
          node_type, edge_type, max_id, num_negs=num_negs
      )
      self.gnn = GNN(
          "sage",
          "sage",
          dims,
          fanouts,
          metapath,
          feature_idx,
          feature_dim,
          max_id=max_id,
      )
      self.context_gnn = GNN(
          "sage",
          "sage",
          dims,
          fanouts,
          metapath,
          feature_idx,
          feature_dim,
          max_id=max_id,
      )
      self.dim = dims[-1]
  
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 UnsupervisedGraphSage object from inherited base classes: UnsuperviseModel with example: obj = UnsupervisedGraphSage(dims, fanouts, metapath, feature_idx, feature_dim, node_type, edge_type, max_id, num_negs)