code: def build_neural_module(self) -> Graph2ClassModule:
      return Graph2ClassModule(
          gnn=self.__gnn_model.build_neural_module(),
          num_target_classes=len(self.__target_vocab),
      )
  
imports: from typing_extensions import TypedDict
  import numpy
  import torch
  from dpu_utils.mlutils import Vocabulary
  from torch import nn
  from typing import Any, Counter, Dict, Iterator, List, NamedTuple, Optional, Tuple, Union
  from ptgnn.baseneuralmodel import AbstractNeuralModel, ModuleWithMetrics
  from ptgnn.baseneuralmodel.utils.data import enforce_not_None
  from ptgnn.neuralmodels.gnn import GnnOutput, GraphData, TensorizedGraphData
  from ptgnn.neuralmodels.gnn.graphneuralnetwork import GraphNeuralNetwork, GraphNeuralNetworkModel
label_desc: Use image node_id 6 for calling the Graph2Class obj's underlying member method code with example usage: obj.build_neural_module() and returns: Graph2ClassModule