code: def forward(self, data):
      x, edge_index = data.x, data.edge_index
      x = F.dropout(x, p=args.dropout, training=self.training)
      x = F.elu(self.conv1(x, edge_index))
      x = F.dropout(x, p=args.dropout, training=self.training)
      x = self.conv2(x, edge_index)
      return F.log_softmax(x, dim=1)
  
file_path: pytorch_geometric/benchmark/citation/gat.py
imports: import argparse
  import torch
  import torch.nn.functional
  from citation import get_planetoid_dataset, random_planetoid_splits, run
  from torch_geometric.nn import GATConv
  from torch_geometric.profile import rename_profile_file
label_desc: Use image node_id 3 for calling the Net obj's underlying member method code with example usage: obj.forward(data) and returns: F