from typing import Union, Optional
from pathlib import Path
import os
import torch
from PlanetAlign.data import Dataset
from .utils import download_file_from_google_drive
[docs]
class Douban(Dataset):
"""
A pair of online-offline social networks constructed from Douban. Nodes represent
users and edges represent user interactions on the website. The location of a suer is treated as the node attribute,
and the contact/friend relationship are treated as the edge attributes.
There are 1,118 common user across the two networks.
**STATS:**
.. list-table::
:widths: 10 10 10 10 10
:header-rows: 1
* - Graph
- #nodes
- #edges
- #node attrs
- #edge attrs
* - Douban(online)
- 3,906
- 8,164
- 538
- 2
* - Douban(offline)
- 1,118
- 1,511
- 538
- 2
"""
def __init__(self,
root: Union[str, Path],
download: Optional[bool] = False,
train_ratio: Optional[float] = 0.2,
dtype: torch.dtype = torch.float32,
seed: Optional[int] = 0):
if download:
download_file_from_google_drive(
remote_file_id='1PMtPhwEPKUr-PP8LnYoYADh7-x22xbZ4',
save_filename='douban.pt',
root=root)
if not self._check_integrity(root):
raise RuntimeError('Douban dataset not found or corrupted. You can use download=True to download it')
super(Douban, self).__init__(root=root, name='douban', train_ratio=train_ratio, dtype=dtype, seed=seed)
def _check_integrity(self, root):
return os.path.exists(os.path.join(root, 'douban.pt'))