1 code implementation • 5 Apr 2023 • Peter Macgregor, He Sun
Spectral Toolkit of Algorithms for Graphs (STAG) is an open-source library for efficient spectral graph algorithms, and its development starts in September 2022.
no code implementations • 29 Dec 2022 • Peter Macgregor
Graph clustering is a fundamental problem in unsupervised learning, with numerous applications in computer science and in analysing real-world data.
1 code implementation • 2 Aug 2022 • Peter Macgregor, He Sun
For the second result, we show that, by applying fewer than $k$ eigenvectors to construct the embedding, spectral clustering is able to produce better output for many practical instances; this result is the first of its kind in spectral clustering.
1 code implementation • NeurIPS 2021 • Peter Macgregor, He Sun
Hypergraphs are important objects to model ternary or higher-order relations of objects, and have a number of applications in analysing many complex datasets occurring in practice.
1 code implementation • 9 Jun 2021 • Peter Macgregor, He Sun
Local graph clustering is an important algorithmic technique for analysing massive graphs, and has been widely applied in many research fields of data science.