easygraph.datasets.karate module#

class easygraph.datasets.karate.KarateClubDataset(transform=None)[source]#

Bases: EasyGraphDataset

Karate Club dataset for Node Classification

Zachary’s karate club is a social network of a university karate club, described in the paper “An Information Flow Model for Conflict and Fission in Small Groups” by Wayne W. Zachary. The network became a popular example of community structure in networks after its use by Michelle Girvan and Mark Newman in 2002. Official website: http://konect.cc/networks/ucidata-zachary/

Karate Club dataset statistics:

Nodes: 34
Edges: 156
Number of Classes: 2

Parameters:: transform (callable, optional) – A transform that takes in a Graph object and returns a transformed version. The Graph object will be transformed before every access.

num_classes#

Number of node classes

Type:: int

Examples

>>> dataset = KarateClubDataset()
>>> num_classes = dataset.num_classes
>>> g = dataset[0]
>>> labels = g.ndata['label']

Attributes:

hash: Hash value for the dataset and the setting.
name: Name of the dataset.
num_classes: Number of classes.
raw_dir: Raw file directory contains the input data folder.
raw_path: Directory contains the input data files.
save_dir: Directory to save the processed dataset.
save_path: Path to save the processed dataset.
url: Get url to download the raw dataset.
verbose: Whether to print information.

Methods

`download`()	Overwrite to realize your own logic of downloading data.
`has_cache`()	Overwrite to realize your own logic of deciding whether there exists a cached dataset.
`load`()	Overwrite to realize your own logic of loading the saved dataset from files.
`process`()	Overwrite to realize your own logic of processing the input data.
`save`()	Overwrite to realize your own logic of saving the processed dataset into files.

property num_classes#: Number of classes.

process()[source]#: Overwrite to realize your own logic of processing the input data.