code: def forward(self, x):
      return self.fcs(x) + self.linear_shortcut(x)
  
file_path: dgl/examples/pytorch/mvgrl/graph/model.py
imports: import torch
  import torch.nn
  from dgl.nn.pytorch import GraphConv
  from dgl.nn.pytorch.glob import SumPooling
  from utils import local_global_loss_
label_desc: Use image node_id 2 for calling the MLP obj's underlying member method code with example usage: obj.forward(x) and returns: unknown