code: def __init__(
      self,
      dims,
      metapath,
      feature_idx,
      feature_dim,
      label_idx,
      label_dim,
      K=2,
  ):
      super(SGCN, self).__init__(label_idx, label_dim)
      self.gnn = GNN(
          "sgcn",
          "full",
          dims,
          None,
          metapath,
          feature_idx,
          feature_dim,
          K=K,
      )
  
file_path: euler/examples/sgcn/sgcn.py
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
label_desc: Use image node_id 1 to create a new SGCN object from inherited base classes: SuperviseModel with example: obj = SGCN(dims, metapath, feature_idx, feature_dim, label_idx, label_dim, K)