code: def __init__(self, radius):
      super(LGNN, self).__init__()
      self.layer1 = LGNNLayer(1, 16, radius)  # input is scalar feature
      self.layer2 = LGNNLayer(16, 16, radius)  # hidden size is 16
      self.layer3 = LGNNLayer(16, 16, radius)
      self.linear = nn.Linear(16, 2)
  
imports: import os
  import dgl
  import torch
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.data import citation_graph
  import matplotlib.pyplot
  import networkx
  import dgl.function
  from torch.utils.data import DataLoader
label_desc: Use image node_id 1 to create a new LGNN object from inherited base classes: nn with example: obj = LGNN(radius)