code: def forward(self, x, edge_index):
      x = F.dropout(x, p=0.6, training=self.training)
      x = F.elu(self.conv1(x, edge_index))
      x = F.dropout(x, p=0.6, training=self.training)
      x = self.conv2(x, edge_index)
      return x
  
file_path: pytorch_geometric/examples/gat.py
imports: import argparse
  import os.path
  import time
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch_geometric.datasets import Planetoid
  from torch_geometric.logging import init_wandb, log
  from torch_geometric.nn import GATConv
label_desc: Use image node_id 2 for calling the GAT obj's underlying member method code with example usage: obj.forward(x, edge_index) and returns: x