code: def __init__(self, in_channels, hidden_channels, out_channels, alpha):
      super().__init__()
      self.conv1 = Conv(in_channels, hidden_channels)
      self.conv1 = DirGNNConv(self.conv1, alpha, root_weight=False)
  
      self.conv2 = Conv(hidden_channels, out_channels)
      self.conv2 = DirGNNConv(self.conv2, alpha, root_weight=False)
  
file_path: pytorch_geometric/examples/dir_gnn.py
imports: import argparse
  import os.path
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch_geometric.datasets import WikipediaNetwork
  from torch_geometric.nn import DirGNNConv, GCNConv, SAGEConv
label_desc: Use image node_id 1 to create a new DirGNN object from inherited base classes: torch.nn with example: obj = DirGNN(in_channels, hidden_channels, out_channels, alpha)