code: def __init__(self, in_size, hid_size, out_size):
      super().__init__()
      self.layers = nn.ModuleList()
      # two-layer GCN
      self.layers.append(
          dglnn.GraphConv(in_size, hid_size, activation=F.relu)
      )
      self.layers.append(dglnn.GraphConv(hid_size, out_size))
      self.dropout = nn.Dropout(0.5)
  
file_path: dgl/examples/pytorch/gcn/train.py
imports: import argparse
  import dgl
  import dgl.nn
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl import AddSelfLoop
  from dgl.data import CiteseerGraphDataset, CoraGraphDataset, PubmedGraphDataset
label_desc: Use image node_id 1 to create a new GCN object from inherited base classes: nn with example: obj = GCN(in_size, hid_size, out_size)