code: def forward(self, data):
      x = self.gnn(data.x, data.edge_index)
      x = global_add_pool(x, data.batch)
      x = self.classifier(x)
      return x
  
file_path: pytorch_geometric/examples/pytorch_ignite/gin.py
imports: import os.path
  import ignite
  import ignite.contrib.handlers.tensorboard_logger
  import ignite.contrib.handlers.tqdm_logger
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch_geometric import seed_everything
  from torch_geometric.datasets import TUDataset
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import GIN, MLP, global_add_pool
label_desc: Use image node_id 2 for calling the Model obj's underlying member method code with example usage: obj.forward(data) and returns: x