class_docstr: The NeuroGraph benchmark datasets from the
  `"NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics"
  <https://arxiv.org/abs/2306.06202>`_ paper.
  :class:`NeuroGraphDataset` holds a collection of five neuroimaging graph
  learning datasets that span multiple categories of demographics, mental
  states, and cognitive traits.
  See the `documentation
  <https://neurograph.readthedocs.io/en/latest/NeuroGraph.html>`_ and the
  `Github <https://github.com/Anwar-Said/NeuroGraph>`_ for more details.
  
  +--------------------+---------+----------------------+
  | Dataset            | #Graphs | Task                 |
  +====================+=========+======================+
  | :obj:`HCPActivity` | 7,443   | Graph Classification |
  +--------------------+---------+----------------------+
  | :obj:`HCPGender`   | 1,078   | Graph Classification |
  +--------------------+---------+----------------------+
  | :obj:`HCPAge`      | 1,065   | Graph Classification |
  +--------------------+---------+----------------------+
  | :obj:`HCPFI`       | 1,071   | Graph Regression     |
  +--------------------+---------+----------------------+
  | :obj:`HCPWM`       | 1,078   | Graph Regression     |
  +--------------------+---------+----------------------+
  
  Args:
      root (str): Root directory where the dataset should be saved.
      name (str): The name of the dataset (one of :obj:`"HCPGender"`,
          :obj:`"HCPActivity"`, :obj:`"HCPAge"`, :obj:`"HCPFI"`,
          :obj:`"HCPWM"`).
      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`)
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code: def raw_file_names(self) -> str:
      return "data.pt"
  
file_path: pytorch_geometric/torch_geometric/datasets/neurograph.py
imports: import os
  import os.path
  from typing import Callable, List, Optional
  import torch
  from torch_geometric.data import Data, InMemoryDataset, download_url, extract_zip
  from torch_geometric.io import fs
label_desc: Use image node_id 3 for calling the NeuroGraphDataset obj's underlying member method code with example usage: obj.raw_file_names() and returns: str