code: def neighbor_aggregator(self, feature):
      gaan = GaANModel(
          40,
          3,
          hidden_size_a=48,
          hidden_size_v=64,
          hidden_size_m=128,
          hidden_size_o=256,
      )
      feature = gaan.forward(
          self.graph_wrapper, feature, self.drop_rate
      )
      return feature
  
imports: import os
  import re
  import time
  from random import random
  from functools import reduce, partial
  import numpy
  import multiprocessing
  import paddle
  import paddle.fluid
  import paddle.fluid
  import paddle.fluid.layers
  from pgl.graph_wrapper import GraphWrapper
  from pgl.layers.conv import gcn, gat
  from pgl.utils import paddle_helper
label_desc: Use image node_id 2 for calling the GAANModel obj's underlying member method code with example usage: obj.neighbor_aggregator(feature) and returns: feature