class_docstr: A variety of graph datasets collected from `SNAP at Stanford University
  <https://snap.stanford.edu/data>`_.
  
  Args:
      root (str): Root directory where the dataset should be saved.
      name (str): The name of the dataset.
      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`)
      pre_filter (callable, optional): A function that takes in an
          :obj:`torch_geometric.data.Data` object and returns a boolean
          value, indicating whether the data object should be included in the
          final dataset. (default: :obj:`None`)
      force_reload (bool, optional): Whether to re-process the dataset.
          (default: :obj:`False`)
code: def __repr__(self) -> str:
      return f"SNAP-{self.name}({len(self)})"
  
imports: import os
  import os.path
  from typing import Any, Callable, Dict, List, Optional, Union
  import fsspec
  import numpy
  import torch
  from torch_geometric.data import Data, InMemoryDataset
  from torch_geometric.io import fs
  from torch_geometric.utils import coalesce
label_desc: Use image node_id 8 for calling the SNAPDataset obj's underlying member method code with example usage: obj.__repr__() and returns: str, self, str, len, str