code: def forward(self, H, X):
      Z = self.layer1(H, X, X)
      Z = F.elu(Z)
      Z = self.layer2(H, Z, Z)
      return Z
  
imports: import argparse
  import dgl.sparse
  import torch
  import torch.nn
  import torch.nn.functional
  import tqdm
  from dgl.data import CoraGraphDataset
  from torchmetrics.functional import accuracy
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(H, X) and returns: Z