grakel.datasets.fetch_dataset#
- grakel.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 [KKM+16].
For more info visit: https://chrsmrrs.github.io/datasets/docs/datasets/
- Parameters:
- namestr
The name of the dataset (as found in https://chrsmrrs.github.io/datasets/docs/datasets/).
- 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 IOError 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.
Bibliography#
Kristian Kersting, Nils M. Kriege, Christopher Morris, Petra Mutzel, and Marion Neumann. Benchmark data sets for graph kernels. 2016. URL: http://graphkernels.cs.tu-dortmund.de.
