code: def forward(self):
      x = F.dropout(data.x, training=self.training)
      x = F.relu(self.lin1(x))
      x = self.prop1(x, data.edge_index)
      x = self.prop2(x, data.edge_index)
      x = F.dropout(x, training=self.training)
      x = self.lin2(x)
      return F.log_softmax(x, dim=1)
  
file_path: pytorch_geometric/examples/agnn.py
imports: import os.path
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import AGNNConv
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