`grakelx.datasets`.fetch_dataset¶

grakelx.datasets.fetch_dataset(name, verbose=True, data_home=None, download_if_missing=True, with_classes=True, produce_labels_nodes=False, prefer_attr_nodes=False, prefer_attr_edges=False, as_graphs=False)[source][source]¶

Access a large collection of benchmark datasets from TU Dortmund [].

For more info visit: https://ls11-www.cs.tu-dortmund.de/staff/morris/graphkerneldatasets

Parameters:

namestr: The name of the dataset (as found in https://ls11-www.cs.tu-dortmund.de/staff/morris/graphkerneldatasets).
verbosebool, default=True: Print messages, throughout execution.
data_homestring, default=None: Specify another download and cache folder for the datasets. By default all grakel data is stored in ‘~/grakel_data’ subfolders.
download_if_missingboolean, default=True: If False, raise a OSError if the data is not locally available instead of trying to download the data from the source site.
with_classesbool, default=False: Return an iterable of class labels based on the enumeration.
produce_labels_nodesbool, default=False: Produce labels for nodes if not found. Currently this means labeling its node by its degree inside the Graph. This operation is applied only if node labels are non existent.
prefer_attr_nodesbool, default=False: If a dataset has both node labels and node attributes set as labels for the graph object for nodes the attributes.
prefer_attr_edgesbool, default=False: If a dataset has both edge labels and edge attributes set as labels for the graph object for edge the attributes.
as_graphsbool, default=False: Return data as a list of Graph Objects.

Returns:

graphsiterable: Returns an iterable of the produced valid-graph-format and labels for each node.
classeslist: Returns a list of all the classes corresponding to each graph by order of input.