code: def __init__(
      self,
      dims,
      metapath,
      feature_idx,
      feature_dim,
      label_idx,
      label_dim,
      group_num=8,
      head_num=1,
  ):
      super(DNA, self).__init__(label_idx, label_dim)
      self.gnn = GNN(
          "dna",
          "full",
          dims,
          None,
          metapath,
          feature_idx,
          feature_dim,
          group_num=group_num,
          head_num=head_num,
      )
  
file_path: euler/examples/dna/dna.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, UnsuperviseModel
label_desc: Use image node_id 1 to create a new DNA object from inherited base classes: SuperviseModel with example: obj = DNA(dims, metapath, feature_idx, feature_dim, label_idx, label_dim, group_num, head_num)