code: def forward(self, features):
      h = self.gcn_1(self.g, features)
      h = self.dropout(h)
      preds = self.gcn_2(self.g, h)
      return preds
  
file_path: dgl/examples/pytorch/rect/model.py
imports: import torch.nn
  import torch.nn.functional
  from dgl.nn.pytorch import GraphConv
label_desc: Use image node_id 2 for calling the GCN obj's underlying member method code with example usage: obj.forward(features) and returns: preds