code: def forward(self, x, edge_index):
      x = F.dropout(x, training=self.training)
      x = F.relu(self.conv1(x, edge_index))
      x = F.dropout(x, training=self.training)
      x = self.conv2(x, edge_index)
      return F.log_softmax(x, dim=1)
  
file_path: pytorch_geometric/examples/arma.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 ARMAConv
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(x, edge_index) and returns: F