code: def __call__(self, group_n_id):
      group_x = []
      for n_id, gnn in zip(group_n_id, self.group_gnn):
          group_x.append(gnn(n_id))
      return group_x
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  import tf_euler
  from tf_euler.python.euler_ops import mp_ops
  from tf_euler.python.mp_utils import utils
  from tf_euler.python.mp_utils.base_gnn import BaseGNNNet
  from tf_euler.python.utils.encoders import ShallowEncoder
label_desc: Use image node_id 2 for calling the GroupGNNNet obj's underlying member method code with example usage: obj.__call__(group_n_id) and returns: group_x