code: def __init__(
      self,
      global_graph_representation_module: AbstractVarSizedElementReduce,
      dropout_rate: float = 0.0,
  ):
      super().__init__()
      self.__global_graph_representation_module = (
          global_graph_representation_module
      )
      self.__dropout = nn.Dropout(p=dropout_rate)
  
file_path: ptgnn/ptgnn/neuralmodels/gnn/messagepassing/globalgraphexchange.py
imports: import torch
  from abc import abstractmethod
  from torch import nn
  from typing import Dict, List, Tuple
  from ptgnn.neuralmodels.gnn.messagepassing.abstractmessagepassing import AbstractMessagePassingLayer
  from ptgnn.neuralmodels.reduceops.varsizedsummary import AbstractVarSizedElementReduce, ElementsToSummaryRepresentationInput
label_desc: Use image node_id 1 to create a new AbstractGlobalGraphExchange object from inherited base classes: AbstractMessagePassingLayer with example: obj = AbstractGlobalGraphExchange(global_graph_representation_module, dropout_rate)