code: def forward(self):
      edge_index, _ = dropout_edge(
          data.edge_index,
          p=0.2,
          force_undirected=True,
          training=self.training,
      )
      x = F.dropout(data.x, p=0.92, training=self.training)
  
      x = self.unet(x, edge_index)
      return F.log_softmax(x, dim=1)
  
file_path: pytorch_geometric/examples/graph_unet.py
imports: import os.path
  import torch
  import torch.nn.functional
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import GraphUNet
  from torch_geometric.utils import dropout_edge
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward() and returns: F