class_docstr: The DGraphFin networks from the
  `"DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection"
  <https://arxiv.org/abs/2207.03579>`_ paper.
  It is a directed, unweighted dynamic graph consisting of millions of
  nodes and edges, representing a realistic user-to-user social network
  in financial industry.
  Node represents a Finvolution user, and an edge from one
  user to another means that the user regards the other user
  as the emergency contact person. Each edge is associated with a
  timestamp ranging from 1 to 821 and a type of emergency contact
  ranging from 0 to 11.
  
  
  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
      * - 3,700,550
        - 4,300,999
        - 17
        - 2
code: def raw_file_names(self) -> str:
      return "DGraphFin.zip"
  
file_path: pytorch_geometric/torch_geometric/datasets/dgraph.py
imports: import os.path
  from typing import Callable, Optional
  import numpy
  import torch
  from torch_geometric.data import Data, InMemoryDataset, extract_zip
  from torch_geometric.utils import index_to_mask
label_desc: Use image node_id 3 for calling the DGraphFin obj's underlying member method code with example usage: obj.raw_file_names() and returns: str