code: def __init__(self):
      super().__init__()
      self.conv1 = SGConv(
          in_channels=dataset.num_features,
          out_channels=dataset.num_classes,
          K=2,
          cached=True,
      )
  
file_path: pytorch_geometric/examples/sgc.py
imports: import os.path
  import torch
  import torch.nn.functional
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import SGConv
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: torch.nn with example: obj = Net()