code: def __init__(
      self, gnn_model: GraphNeuralNetworkModel[np.ndarray, np.ndarray]
  ):
      super().__init__()
      self.__gnn_model = gnn_model
  
imports: import numpy
  import torch
  from torch import nn
  from typing import Any, Dict, Iterable, NamedTuple, Optional, Union
  from ptgnn.baseneuralmodel import AbstractNeuralModel, ModuleWithMetrics
  from ptgnn.baseneuralmodel.utils.data import enforce_not_None
  from ptgnn.implementations.ppi.dataloader import PPIGraphSample
  from ptgnn.neuralmodels.gnn.graphneuralnetwork import GraphNeuralNetwork, GraphNeuralNetworkModel
  from ptgnn.neuralmodels.gnn.structs import GnnOutput, GraphData, TensorizedGraphData
label_desc: Use image node_id 1 to create a new PPIMulticlassClassification object from inherited base classes: AbstractNeuralModel with example: obj = PPIMulticlassClassification(gnn_model)