code: def get_livejournal():
      # Same as https://snap.stanford.edu/data/soc-LiveJournal1.txt.gz
      _download(
          "https://dgl-asv-data.s3-us-west-2.amazonaws.com/dataset/livejournal/soc-LiveJournal1.txt.gz",
          "/tmp/dataset/livejournal",
          "soc-LiveJournal1.txt.gz",
      )
      df = pandas.read_csv(
          "/tmp/dataset/livejournal/soc-LiveJournal1.txt.gz",
          sep="\t",
          skiprows=4,
          header=None,
          names=["src", "dst"],
          compression="gzip",
      )
      src = df["src"].values
      dst = df["dst"].values
      print("construct the graph")
      return dgl.graph((src, dst))
  
imports: import inspect
  import json
  import os
  import pickle
  import shutil
  import time
  import zipfile
  from functools import partial, reduce, wraps
  from timeit import default_timer
  import dgl
  import numpy
  import pandas
  import requests
  import torch
  from ogb.nodeproppred import DglNodePropPredDataset
  import traceback
  from _thread import start_new_thread
  import torch.multiprocessing
label_desc: Use image node_id 5 for calling a global function with example usage: get_livejournal() and returns: dgl