littleballoffur
A Python library providing a comprehensive collection of graph sampling algorithms for NetworkX and NetworKit.
What is littleballoffur?
Little Ball of Fur is a Python library for graph sampling, designed as a Swiss Army knife for extracting representative subsets from graph-structured data. It provides a unified interface to apply over 20 vertex, edge, and exploration-based sampling algorithms from prominent networking and data mining research. The library solves the problem of efficiently and consistently applying diverse graph sampling techniques, bridging academic research with practical implementation.
Data scientists, researchers, and engineers working with large graph datasets in fields like network science, social network analysis, or bioinformatics, who need to sample graphs for analysis, visualization, or model training. It is also suitable for academics implementing or benchmarking graph sampling methods from literature.
Developers choose Little Ball of Fur for its comprehensive collection of research-backed sampling algorithms, all accessible through a consistent public API that simplifies integration and usage. Its seamless compatibility with popular graph libraries like NetworkX and NetworKit, along with extensive documentation and examples, reduces the overhead of implementing sampling techniques from scratch.
Overview
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Use Cases
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