code: def __init__(
      self, in_channels: int, hidden_channels: int, out_channels: int
  ):
      super().__init__()
      self.conv1 = GCNConv(in_channels, hidden_channels)
      self.conv2 = GCNConv(hidden_channels, out_channels)
  
file_path: pytorch_geometric/examples/jit/gcn.py
imports: import os.path
  import torch
  import torch.nn.functional
  from torch import Tensor
  import torch_geometric.transforms
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import GCNConv
label_desc: Use image node_id 1 to create a new GCN object from inherited base classes: torch.nn with example: obj = GCN(in_channels, hidden_channels, out_channels)