code: def forward(self, x, edge_index, batch):
      for conv in self.convs:
          x = conv(x, edge_index).relu()
      x = global_add_pool(x, batch)
      return self.mlp(x)
  
file_path: pytorch_geometric/examples/mutag_gin.py
imports: import argparse
  import os.path
  import time
  import torch
  import torch.nn.functional
  from torch_geometric.datasets import TUDataset
  from torch_geometric.loader import DataLoader
  from torch_geometric.logging import init_wandb, log
  from torch_geometric.nn import MLP, GINConv, global_add_pool
label_desc: Use image node_id 2 for calling the GIN obj's underlying member method code with example usage: obj.forward(x, edge_index, batch) and returns: self