code: def forward(self, x, edge_index, size=None):
      if isinstance(x, Tensor):
          x = (x, x)
  
      out = self.propagate(edge_index, x=x, size=size)
      # out += (1 + self.eps) * x[1]
  
      return out
  
imports: import argparse
  import os.path
  import time
  import torch
  import torch.nn.functional
  from tqdm import tqdm
  from torch_geometric.datasets import Reddit, Reddit2
  from torch_geometric.nn.conv import MessagePassing
  from torch.nn import Linear
  from torch import Tensor
  from logger import Logger
  from torch_geometric.data import NeighborSampler
label_desc: Use image node_id 2 for calling the Conv obj's underlying member method code with example usage: obj.forward(x, edge_index, size) and returns: out