class_docstr: The semi-supervised Wikipedia-based dataset from the
  `"Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks"
  <https://arxiv.org/abs/2007.02901>`_ paper, containing 11,701 nodes,
  216,123 edges, 10 classes and 20 different training splits.
  
  Args:
      root (str): Root directory where the dataset should be saved.
      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`)
      is_undirected (bool, optional): Whether the graph is undirected.
          (default: :obj:`True`)
      force_reload (bool, optional): Whether to re-process the dataset.
          (default: :obj:`False`)
code: def __init__(
      self,
      root: str,
      transform: Optional[Callable] = None,
      pre_transform: Optional[Callable] = None,
      is_undirected: Optional[bool] = None,
      force_reload: bool = False,
  ) -> None:
      if is_undirected is None:
          warnings.warn(
              f"The {self.__class__.__name__} dataset now returns an "
              f"undirected graph by default. Please explicitly specify "
              f"'is_undirected=False' to restore the old behavior."
          )
          is_undirected = True
      self.is_undirected = is_undirected
      super().__init__(
          root, transform, pre_transform, force_reload=force_reload
      )
      self.load(self.processed_paths[0])
  
file_path: pytorch_geometric/torch_geometric/datasets/wikics.py
imports: import json
  import warnings
  from itertools import chain
  from typing import Callable, List, Optional
  import torch
  from torch_geometric.data import Data, InMemoryDataset, download_url
  from torch_geometric.utils import to_undirected
label_desc: Use image node_id 1 to create a new WikiCS object from inherited base classes: InMemoryDataset with example: obj = WikiCS(root, transform, pre_transform, is_undirected, force_reload)