code: def update(self, aggr_out, x, res_n_id):
      aggr_out = torch.cat([aggr_out, x], dim=-1)
  
      aggr_out = self.lin_update(aggr_out)
      return aggr_out
  
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 4 for calling the SAGEConv obj's underlying member method code with example usage: obj.update(aggr_out, x, res_n_id) and returns: aggr_out