class_docstr: A mini-dataset for binary classification task using Cora.
  
  After loaded, it has following members:
  
  graphs : list of :class:`~dgl.DGLGraph`
  pmpds : list of :class:`scipy.sparse.coo_matrix`
  labels : list of :class:`numpy.ndarray`
  
  Parameters
  -----------
  raw_dir : str
      Raw file directory to download/contains the input data directory.
      Default: ~/.dgl/
  force_reload : bool
      Whether to reload the dataset. Default: False
  verbose: bool
      Whether to print out progress information. Default: True.
  transform : callable, optional
      A transform that takes in a :class:`~dgl.DGLGraph` object and returns
      a transformed version. The :class:`~dgl.DGLGraph` object will be
      transformed before every access.
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code: def graph_path(self):
      return os.path.join(self.save_path, self.save_name + ".bin")
  
imports: from __future__ import absolute_import
  import os, sys
  import pickle
  import warnings
  import networkx
  import numpy
  import scipy.sparse
  from ..None import backend, batch, convert
  from ..convert import from_networkx, graph, to_networkx
  from ..transforms import reorder_graph
  from .dgl_dataset import DGLBuiltinDataset
  from .utils import _get_dgl_url, deprecate_function, deprecate_property, generate_mask_tensor, load_graphs, load_info, makedirs, save_graphs, save_info
label_desc: Use image node_id 3 for calling the CoraBinary obj's underlying member method code with example usage: obj.graph_path() and returns: os