code: def __init__(self):
      super().__init__()
  
      self.lins = torch.nn.ModuleList()
      for _ in range(K + 1):
          self.lins.append(Linear(dataset.num_node_features, 1024))
      self.lin = Linear((K + 1) * 1024, dataset.num_classes)
  
file_path: pytorch_geometric/examples/sign.py
imports: import os.path
  import torch
  import torch.nn.functional
  from torch.nn import Linear
  from torch.utils.data import DataLoader
  import torch_geometric.transforms
  from torch_geometric.datasets import Flickr
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: torch.nn with example: obj = Net()