code: def __init__(self):
      super().__init__()
  
      self.conv1 = GCNConv(dataset.num_features, 32)
      self.conv2 = GCNConv(32, 32)
      self.conv3 = GCNConv(32, 32)
  
      self.pool = GraphMultisetTransformer(96, k=10, heads=4)
  
      self.lin1 = Linear(96, 16)
      self.lin2 = Linear(16, dataset.num_classes)
  
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 1 to create a new Net object from inherited base classes: torch.nn with example: obj = Net()