code: def forward(self, x0, edge_index, batch):
      x1 = self.conv1(x0, edge_index).relu()
      x2 = self.conv2(x1, edge_index).relu()
      x3 = self.conv3(x2, edge_index).relu()
      x = torch.cat([x1, x2, x3], dim=-1)
  
      x = self.pool(x, batch)
  
      x = self.lin1(x).relu()
      x = F.dropout(x, p=0.5, training=self.training)
      x = self.lin2(x)
  
      return x
  
file_path: pytorch_geometric/examples/proteins_gmt.py
imports: import os.path
  import time
  import torch
  import torch.nn.functional
  from torch.nn import Linear
  from torch_geometric.datasets import TUDataset
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import GCNConv, GraphMultisetTransformer
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(x0, edge_index, batch) and returns: x