code: def forward(self, edge_index, edge_type):
      x = F.relu(self.conv1(None, edge_index, edge_type))
      x = self.conv2(x, edge_index, edge_type)
      return F.log_softmax(x, dim=1)
  
file_path: pytorch_geometric/examples/rgcn.py
imports: import argparse
  import os.path
  import time
  import torch
  import torch.nn.functional
  from torch_geometric.datasets import Entities
  from torch_geometric.nn import FastRGCNConv, RGCNConv
  from torch_geometric.utils import k_hop_subgraph
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(edge_index, edge_type) and returns: F