code: def forward(self):
      x, edge_index, edge_attr = data.x, data.edge_index, data.edge_attr
      x = F.dropout(x, training=self.training)
      x = F.elu(self.conv1(x, edge_index, edge_attr))
      x = F.dropout(x, training=self.training)
      x = self.conv2(x, edge_index, edge_attr)
      return F.log_softmax(x, dim=1)
  
file_path: pytorch_geometric/examples/cora.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 SplineConv
  from torch_geometric.typing import WITH_TORCH_SPLINE_CONV
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