code: def __init__(self, runs, info=None):
      self.info = info
      self.results = {
          "valid": [[] for _ in range(runs)],
          "test": [[] for _ in range(runs)],
      }
  
file_path: dgl/examples/pytorch/ogb/ngnn_seal/utils.py
imports: import random
  import sys
  import numpy
  import torch
  from dgl.sampling import global_uniform_negative_sampling
  from scipy.sparse.csgraph import shortest_path
label_desc: Use image node_id 1 to create a new Logger object from inherited base classes: object with example: obj = Logger(runs, info)