code: def __init__(self, runs, info=None):
      self.info = info
      self.results = [[] for _ in range(runs)]
  
imports: import argparse
  import math
  import dgl
  import torch
  import torch.nn.functional
  from dgl.dataloading.negative_sampler import GlobalUniform
  from dgl.nn.pytorch import GraphConv, SAGEConv
  from ogb.linkproppred import DglLinkPropPredDataset, Evaluator
  from torch.nn import Linear
  from torch.utils.data import DataLoader
label_desc: Use image node_id 1 to create a new Logger object from inherited base classes: object with example: obj = Logger(runs, info)