code: def forward(self, x, edge_index):
      return self.lin(x) + self.conv(x, edge_index)
  
imports: from typing import Tuple
  import pytest
  import torch
  from torch import Tensor
  from torch.nn import Linear, ReLU, Sequential
  import torch_geometric.typing
  from torch_geometric.nn import GINEConv, MessagePassing, RGCNConv, SAGEConv, to_hetero_with_bases
  from torch_geometric.typing import SparseTensor
label_desc: Use image node_id 2 for calling the RGCN obj's underlying member method code with example usage: obj.forward(x, edge_index) and returns: unknown