class_docstr: The GitHub Web and ML Developers dataset introduced in the
  `"Multi-scale Attributed Node Embedding"
  <https://arxiv.org/abs/1909.13021>`_ paper.
  Nodes represent developers on :obj:`github:`GitHub` and edges are mutual
  follower relationships.
  It contains 37,300 nodes, 578,006 edges, 128 node features and 2 classes.
  
  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`)
      force_reload (bool, optional): Whether to re-process the dataset.
          (default: :obj:`False`)
  
  **STATS:**
  
  .. list-table::
      :widths: 10 10 10 10
      :header-rows: 1
  
      * - #nodes
        - #edges
        - #features
        - #classes
      * - 37,700
        - 578,006
        - 0
        - 2
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code: def download(self) -> None:
      download_url(self.url, self.raw_dir)
  
file_path: pytorch_geometric/torch_geometric/datasets/github.py
imports: from typing import Callable, Optional
  import numpy
  import torch
  from torch_geometric.data import Data, InMemoryDataset, download_url
label_desc: Use image node_id 4 for calling the GitHub obj's underlying member method code with example usage: obj.download() without return types