code: def forward(self, x, edge_index, edge_type):
      x = self.conv1(x, edge_index, edge_type).relu()
      x = self.conv2(x, edge_index, edge_type).relu()
      x = self.lin(x)
      return F.log_softmax(x, dim=-1)
  
file_path: pytorch_geometric/examples/rgat.py
imports: import os.path
  import time
  import torch
  import torch.nn.functional
  from torch_geometric.datasets import Entities
  from torch_geometric.nn import RGATConv
label_desc: Use image node_id 2 for calling the RGAT obj's underlying member method code with example usage: obj.forward(x, edge_index, edge_type) and returns: F