code: def forward(self, x, edge_index, edge_weight=None):
      x = self.conv1(x, edge_index, edge_weight).relu()
      x = F.dropout(x, training=self.training)
      x = self.conv2(x, edge_index, edge_weight)
      return x
  
imports: import copy
  import os.path
  from typing import Optional
  import torch
  import torch.nn.functional
  from torch import Tensor
  from torch.optim import Adam
  import torch_geometric.transforms
  from torch_geometric.contrib.nn import GRBCDAttack, PRBCDAttack
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import GATConv, GCNConv
  from torch_geometric.nn.conv.gcn_conv import gcn_norm
  from torch_geometric.utils import softmax
label_desc: Use image node_id 3 for calling the GAT obj's underlying member method code with example usage: obj.forward(x, edge_index, edge_weight) and returns: x