code: def __init__(
      self,
      metric,
      dims,
      metapath,
      feature_idx,
      feature_dim,
      label_idx,
      label_dim,
  ):
      super(AGNN, self).__init__(label_idx, label_dim, metric)
      self.gnn = GNN(
          "agnn", "full", dims, None, metapath, feature_idx, feature_dim
      )
  
file_path: euler/examples/agnn/agnn.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 AGNN object from inherited base classes: SuperviseModel with example: obj = AGNN(metric, dims, metapath, feature_idx, feature_dim, label_idx, label_dim)