code: def load(name):
      if name == "cora":
          dataset = data_loader.CoraDataset()
      elif name == "pubmed":
          dataset = data_loader.CitationDataset(
              "pubmed", symmetry_edges=False
          )
      elif name == "citeseer":
          dataset = data_loader.CitationDataset(
              "citeseer", symmetry_edges=False
          )
      else:
          raise ValueError(name + " dataset doesn't exists")
      return dataset
  
file_path: PGL/legacy/examples/gcn/train.py
imports: import pgl
  from pgl import data_loader
  from pgl.utils.logger import log
  import paddle.fluid
  import numpy
  import time
  import argparse
label_desc: Use image node_id 1 for calling a global function with example usage: load(name) and returns: dataset