code: def forward(self, X):
      H = self.linear_1(X)
      H = F.relu(H)
      H = self.dropout(H)
      H = self.linear_2(H)
      return H
  
imports: import argparse
  import dgl.sparse
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.data import CoraGraphDataset
  from torch.optim import Adam
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: H