code: def __init__(self):
      d_name = "ogbn-arxiv"
      dataset = NodePropPredDataset(name=d_name)
      graph, label = dataset[0]
      self.num_nodes = graph["num_nodes"]
      self.ogb_evaluator = Evaluator(name="ogbn-arxiv")
  
file_path: PGL/ogb_examples/nodeproppred/ogbn-arxiv/GaAN/monitor/train_monitor.py
imports: import tqdm
  import json
  import numpy
  import sys
  import os
  import paddle.fluid
  from tensorboardX import SummaryWriter
  from ogb.nodeproppred import Evaluator
  from ogb.nodeproppred import NodePropPredDataset
label_desc: Use image node_id 1 to create a new OgbEvaluator object from inherited base classes: object with example: obj = OgbEvaluator()