code: def __init__(self, feats, radius, n_classes):
      super(GNN, self).__init__()
      self.linear = nn.Linear(feats[-1], n_classes)
      self.module_list = nn.ModuleList(
          [
              GNNModule(m, n, radius)
              for m, n in zip(feats[:-1], feats[1:])
          ]
      )
  
file_path: dgl/examples/pytorch/line_graph/gnn.py
imports: import copy
  import itertools
  import dgl
  import dgl.function
  import networkx
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new GNN object from inherited base classes: nn with example: obj = GNN(feats, radius, n_classes)