code: def forward(self, graph):
      h = graph.ndata["feat"]
  
      for layer in self.gcn:
          h = layer(graph, h)
  
      h = F.normalize(h, p=2, dim=1)
      h = self.out_layer(graph, h)
  
      return h
  
file_path: dgl/examples/pytorch/graphsaint/modules.py
imports: import dgl.function
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the GCNNet obj's underlying member method code with example usage: obj.forward(graph) and returns: h