code: def __init__(self, in_channels, out_channels):
      super().__init__()
      self.conv1 = GCNConv(in_channels, out_channels)
      self.conv2 = GCNConv(out_channels, out_channels)
  
file_path: pytorch_geometric/test/visualization/test_influence.py
imports: import torch
  from torch_geometric.datasets import KarateClub
  from torch_geometric.nn import GCNConv
  from torch_geometric.visualization import influence
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: torch.nn with example: obj = Net(in_channels, out_channels)