code: def __init__(self):
      super().__init__()
      self.lin1 = torch.nn.Linear(dataset.num_features, 16)
      self.prop1 = AGNNConv(requires_grad=False)
      self.prop2 = AGNNConv(requires_grad=True)
      self.lin2 = torch.nn.Linear(16, dataset.num_classes)
  
file_path: pytorch_geometric/examples/agnn.py
imports: import os.path
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import AGNNConv
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: torch.nn with example: obj = Net()