code: def corruption(x, edge_index, batch_size):
      return x[torch.randperm(x.size(0))], edge_index, batch_size
  
file_path: pytorch_geometric/examples/infomax_inductive.py
imports: import os.path
  import torch
  from tqdm import tqdm
  from torch_geometric.datasets import Reddit
  from torch_geometric.loader import NeighborLoader
  from torch_geometric.nn import DeepGraphInfomax, SAGEConv
label_desc: Use image node_id 1 for calling a global function with example usage: corruption(x, edge_index, batch_size) and returns: x,  edge_index,  batch_size