code: def corruption(x, edge_index):
      return x[torch.randperm(x.size(0), device=x.device)], edge_index
  
file_path: pytorch_geometric/examples/infomax_transductive.py
imports: import os.path
  import torch
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import DeepGraphInfomax, GCNConv
label_desc: Use image node_id 1 for calling a global function with example usage: corruption(x, edge_index) and returns: x,  edge_index