code: def forward(self, hidden):
      # GCN encoder
      Z = self.gcn_mean(hidden)
      # inner product decoder
      adj_logits = Z @ Z.T
      return adj_logits
  
file_path: DIG/dig/fairgraph/method/Graphair/aug_module.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  import pyro
  from .GCN import GCN_Body
label_desc: Use image node_id 2 for calling the MLPA obj's underlying member method code with example usage: obj.forward(hidden) and returns: adj_logits