Spectral Toolkit of Algorithms for Graphs: Technical Report (2)

TL;DR

This technical report introduces STAG, an open-source library offering efficient graph algorithms, including new components for locality sensitive hashing, kernel density estimation, and spectral clustering, with practical guides and experiments.

Contribution

The paper presents new implementations of locality sensitive hashing, kernel density estimation, and spectral clustering within the STAG library, enhancing graph algorithm tools.

Findings

Demonstrated efficiency of new algorithms

Provided practical user guides and experiments

Showcased applications in graph analysis

Abstract

Spectral Toolkit of Algorithms for Graphs (STAG) is an open-source library for efficient graph algorithms. This technical report presents the newly implemented component on locality sensitive hashing, kernel density estimation, and fast spectral clustering. The report includes a user's guide to the newly implemented algorithms, experiments and demonstrations of the new functionality, and several technical considerations behind our development.