code: def forward(
      self, x, edge_index, edge_weight=None, size=None, res_n_id=None
  ):
      edge_index, _ = pyg_utils.remove_self_loops(edge_index)
  
      return self.propagate(
          edge_index,
          size=size,
          x=x,
          edge_weight=edge_weight,
          res_n_id=res_n_id,
      )
  
imports: from functools import reduce
  import random
  import networkx
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  import torch_geometric.nn
  import torch_geometric.utils
  import utils
label_desc: Use image node_id 2 for calling the SAGEConv obj's underlying member method code with example usage: obj.forward(x, edge_index, edge_weight, size, res_n_id) and returns: self