code: def GaANConv(self, gw, feature, name):
      feat_key = fluid.layers.fc(
          feature,
          self.hidden_size_a * self.heads,
          bias_attr=False,
          param_attr=fluid.ParamAttr(name=name + "_project_key"),
      )
      # N * (D2 * M)
      feat_value = fluid.layers.fc(
          feature,
          self.hidden_size_v * self.heads,
          bias_attr=False,
          param_attr=fluid.ParamAttr(name=name + "_project_value"),
      )
      # N * (D1 * M)
      feat_query = fluid.layers.fc(
          feature,
          self.hidden_size_a * self.heads,
          bias_attr=False,
          param_attr=fluid.ParamAttr(name=name + "_project_query"),
      )
      # N * Dm
      feat_gate = fluid.layers.fc(
          feature,
          self.hidden_size_m,
          bias_attr=False,
          param_attr=fluid.ParamAttr(name=name + "_project_gate"),
      )
  
      # send
      message = gw.send(
          self.send_func,
          nfeat_list=[
              ("node_feat", feature),
              ("feat_key", feat_key),
              ("feat_value", feat_value),
              ("feat_query", feat_query),
              ("feat_gate", feat_gate),
          ],
          efeat_list=None,
      )
  
      # recv
      output = gw.recv(message, self.recv_func)
      output = fluid.layers.fc(
          output,
          self.hidden_size_o,
          bias_attr=False,
          param_attr=fluid.ParamAttr(name=name + "_project_output"),
      )
      output = fluid.layers.leaky_relu(output, alpha=0.1)
      output = fluid.layers.dropout(output, dropout_prob=0.1)
      return output
  
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.GaANConv(gw, feature, name) and returns: output