code: def __init__(self, dataset):
      super().__init__()
      self.lin1 = Linear(dataset.num_features, args.hidden)
      self.lin2 = Linear(args.hidden, dataset.num_classes)
      self.prop1 = APPNP(args.K, args.alpha)
  
file_path: pytorch_geometric/benchmark/citation/appnp.py
imports: import argparse
  import torch
  import torch.nn.functional
  from citation import get_planetoid_dataset, random_planetoid_splits, run
  from torch.nn import Linear
  from torch_geometric.nn import APPNP
  from torch_geometric.profile import rename_profile_file
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: torch.nn with example: obj = Net(dataset)