class_docstr: The Facebook Page-Page network dataset introduced in the
  `"Multi-scale Attributed Node Embedding"
  <https://arxiv.org/abs/1909.13021>`_ paper.
  Nodes represent verified pages on Facebook and edges are mutual likes.
  It contains 22,470 nodes, 342,004 edges, 128 node features and 4 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`)
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code: def processed_file_names(self) -> str:
      return "data.pt"
  
file_path: pytorch_geometric/torch_geometric/datasets/facebook.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 3 for calling the FacebookPagePage obj's underlying member method code with example usage: obj.processed_file_names() and returns: str