gammagl.datasets.WikipediaNetwork

class WikipediaNetwork(root: str | None = None, name: str = 'chameleon', geom_gcn_preprocess: bool = True, transform: Callable | None = None, pre_transform: Callable | None = None, force_reload: bool = False)[source]

The Wikipedia networks introduced in the “Multi-scale Attributed Node Embedding” paper. Nodes represent web pages and edges represent hyperlinks between them. Node features represent several informative nouns in the Wikipedia pages. The task is to predict the average daily traffic of the web page.

Parameters:

  • root (str, optional) – Root directory where the dataset should be saved.

  • name (str) – The name of the dataset ("chameleon", "crocodile", "squirrel").

  • geom_gcn_preprocess (bool) – If set to True, will load the pre-processed data as introduced in the “Geom-GCN: Geometric Graph Convolutional Networks” <https://arxiv.org/abs/2002.05287>_, in which the average monthly traffic of the web page is converted into five categories to predict. If set to True, the dataset "crocodile" is not available.

  • transform (callable, optional) – A function/transform that takes in an gammagl.data.Graph object and returns a transformed version. The data object will be transformed before every access. (default: None)

  • pre_transform (callable, optional) – A function/transform that takes in an gammagl.data.Graph object and returns a transformed version. The data object will be transformed before being saved to disk. (default: None)

  • (bool (force_reload) – (default: False)

  • optional) (Whether to re-process the dataset.) – (default: False)

raw_url = 'https://graphmining.ai/datasets/ptg/wiki'
processed_url = 'https://raw.githubusercontent.com/graphdml-uiuc-jlu/geom-gcn/f1fc0d14b3b019c562737240d06ec83b07d16a8f'
property raw_dir: str
property processed_dir: str
property raw_file_names: str

The name of the files in the self.raw_dir folder that must be present in order to skip downloading.

property processed_file_names: str

The name of the files in the self.processed_dir folder that must be present in order to skip processing.

download()[source]

Downloads the dataset to the self.raw_dir folder.

process()[source]

Processes the dataset to the self.processed_dir folder.