code: def forward(self, x, adj_t):
      x = F.dropout(x, self.dropout, training=self.training)
      x = x_0 = self.lins[0](x).relu()
  
      for conv in self.convs:
          x = F.dropout(x, self.dropout, training=self.training)
          x = conv(x, x_0, adj_t)
          x = x.relu()
  
      x = F.dropout(x, self.dropout, training=self.training)
      x = self.lins[1](x)
  
      return x.log_softmax(dim=-1)
  
file_path: pytorch_geometric/examples/gcn2_cora.py
imports: import os.path
  import time
  import torch
  import torch.nn.functional
  from torch.nn import Linear
  import torch_geometric.transforms
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import GCN2Conv
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(x, adj_t) and returns: x