class_docstr: The Wikipedia networks introduced in the
  `"Multi-scale Attributed Node Embedding"
  <https://arxiv.org/abs/1909.13021>`_ paper.
  Nodes represent web pages and edges represent hyperlinks between them.
  Node features represent several informative nouns in the Wikipedia pages.
  The task is to predict the average daily traffic of the web page.
  
  Args:
      root (str): Root directory where the dataset should be saved.
      name (str): The name of the dataset (:obj:`"chameleon"`,
          :obj:`"crocodile"`, :obj:`"squirrel"`).
      geom_gcn_preprocess (bool): If set to :obj:`True`, will load the
          pre-processed data as introduced in the `"Geom-GCN: Geometric
          Graph Convolutional Networks" <https://arxiv.org/abs/2002.05287>_`,
          in which the average monthly traffic of the web page is converted
          into five categories to predict.
          If set to :obj:`True`, the dataset :obj:`"crocodile"` is not
          available.
          If set to :obj:`True`, train/validation/test splits will be
          available as masks for multiple splits with shape
          :obj:`[num_nodes, num_splits]`. (default: :obj:`True`)
      transform (callable, optional): A function/transform that takes in an
          :obj:`torch_geometric.data.Data` object and returns a transformed
          version. The data object will be transformed before every access.
          (default: :obj:`None`)
      pre_transform (callable, optional): A function/transform that takes in
          an :obj:`torch_geometric.data.Data` object and returns a
          transformed version. The data object will be transformed before
          being saved to disk. (default: :obj:`None`)
      force_reload (bool, optional): Whether to re-process the dataset.
          (default: :obj:`False`)
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code: def raw_dir(self) -> str:
      if self.geom_gcn_preprocess:
          return osp.join(self.root, self.name, "geom_gcn", "raw")
      else:
          return osp.join(self.root, self.name, "raw")
  
file_path: pytorch_geometric/torch_geometric/datasets/wikipedia_network.py
imports: import os.path
  from typing import Callable, List, Optional, Union
  import numpy
  import torch
  from torch_geometric.data import Data, InMemoryDataset, download_url
  from torch_geometric.utils import coalesce
label_desc: Use image node_id 2 for calling the WikipediaNetwork obj's underlying member method code with example usage: obj.raw_dir() and returns: osp, osp