code: def forward(self, g, features):
      z = self.encoder(g, features)
      adj_rec = self.decoder(z)
      return adj_rec
  
file_path: dgl/examples/pytorch/vgae/model.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from dgl.nn.pytorch import GraphConv
  from train import device
label_desc: Use image node_id 4 for calling the VGAEModel obj's underlying member method code with example usage: obj.forward(g, features) and returns: adj_rec