Little Ball of Fur Documentation¶

Little Ball of Fur consists of methods to do sampling of graph structured data. To put it simply it is a Swiss Army knife for graph sampling tasks. First, it includes a large variety of vertex, edge and expansions sampling techniques. Second, it provides a unified application public interface which makes the application of sampling algorithms trivial for end-users. Implemented methods cover a wide range of networking (Networking, INFOCOM, SIGCOMM) and data mining (KDD, TKDD, ICDE) conferences, workshops, and pieces from prominent journals.

>@inproceedings{rozemberczki2020little,
     title={{Little Ball of Fur: A Python Library for Graph Sampling}},
     author={Benedek Rozemberczki and Oliver Kiss and Rik Sarkar},
     year={2020},
     pages={3133–3140},
     booktitle={Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM '20)},
     organization={ACM},
}

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Package Reference