code: def _load_check_mark(path: str):
      if os.path.exists(path):
          with open(path, "r") as f:
              return json.load(f)
      else:
          return {}
  
file_path: dgl/examples/pytorch/gxn/data_preprocess.py
imports: import json
  import logging
  import os
  import sys
  import numpy
  import torch
  from dgl.data import LegacyTUDataset
label_desc: Use image node_id 1 for calling a global function with example usage: _load_check_mark(path) and returns: dict, json