code: def __init__(self, in_channels, hidden_channels):
      super().__init__()
      self.conv = GCNConv(in_channels, hidden_channels)
      self.prelu = torch.nn.PReLU(hidden_channels)
  
file_path: pytorch_geometric/examples/infomax_transductive.py
imports: import os.path
  import torch
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import DeepGraphInfomax, GCNConv
label_desc: Use image node_id 1 to create a new Encoder object from inherited base classes: torch.nn with example: obj = Encoder(in_channels, hidden_channels)