gammagl.datasets.WikiCS

class WikiCS(root: str | None = None, transform: Callable | None = None, pre_transform: Callable | None = None, is_undirected: bool | None = None, force_reload: bool = False)[source]

The semi-supervised Wikipedia-based dataset from the “Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks” paper, containing 11,701 nodes, 216,123 edges, 10 classes and 20 different training splits.

Parameters:

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

  • 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)

  • is_undirected (bool, optional) – Whether the graph is undirected. (default: True)

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

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

url = 'https://github.com/pmernyei/wiki-cs-dataset/raw/master/dataset'
property raw_dir: str
property processed_dir: str
property raw_file_names: List[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.