gammagl.datasets.AMiner

class AMiner(root: str | None = None, transform: Callable | None = None, pre_transform: Callable | None = None, pre_filter: Callable | None = None, force_reload: bool = False)

The heterogeneous AMiner dataset from the “metapath2vec: Scalable Representation Learning for Heterogeneous Networks” paper, consisting of nodes from type "paper", "author" and "venue". Aminer is a heterogeneous graph containing three types of entities - author (1,693,531 nodes), venue (3,883 nodes), and paper (3,194,405 nodes). Venue categories and author research interests are available as ground truth labels for a subset of nodes.

Parameters:

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

• transform (callable, optional) – A function/transform that takes in an gammagl.data.HeteroGraph 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.HeteroGraph 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)

url = 'https://www.dropbox.com/s/1bnz8r7mofx0osf/net_aminer.zip?dl=1'

y_url = 'https://www.dropbox.com/s/nkocx16rpl4ydde/label.zip?dl=1'

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()

Downloads the dataset to the self.raw_dir folder.

process()

Processes the dataset to the self.processed_dir folder.