code: def __init__(
      self, num_features: int, num_classes: int, bias: bool = True
  ):
      super().__init__()
      self.W = torch.nn.Linear(num_features, num_classes, bias=bias)
  
file_path: pytorch_geometric/examples/ogc.py
imports: import argparse
  import os.path
  import time
  import warnings
  import torch
  import torch.nn.functional
  from torch import Tensor
  import torch_geometric.transforms
  from torch_geometric.data import Data
  from torch_geometric.datasets import Planetoid
  from torch_geometric.utils import one_hot
label_desc: Use image node_id 1 to create a new LinearNeuralNetwork object from inherited base classes: torch.nn with example: obj = LinearNeuralNetwork(num_features, num_classes, bias)