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Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor

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Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor

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pmacg/README.md

I’m a Lecturer in the School of Computer Science at the University of St Andrews. My research interests are broadly in algorithms for data science and machine learning and I always aim to develop theoretically sound algorithms which work well in practice. Please see my website for more information on my work.

If you'd like help with any of my work, or you'd just like to connect, then please do get in touch using the contact details on my website.

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  1. staglibrary/stag staglibrary/stag Public

    Spectral Toolkit of Algorithms for Graphs

    C++ 13

  2. spectral-clustering-meta-graphs spectral-clustering-meta-graphs Public

    Code to accompany the paper "A Tighter Analysis of Spectral Clustering, and Beyond", published at ICML 2022.

    Python 5

  3. local-densely-connected-clusters local-densely-connected-clusters Public

    Code to accompany the paper "Local Algorithms for Finding Densely Connected Clusters", published at ICML 2021.

    C++ 8 5

  4. hypergraph-bipartite-components hypergraph-bipartite-components Public

    Code to accompany the paper "Finding Bipartite Components in Hypergraphs", which is published in NeurIPS'21.

    Python 6

  5. fast-spectral-clustering fast-spectral-clustering Public

    Fast spectral clustering, described in the NeurIPS'23 paper "Fast and Simple Spectral Clustering in Theory and Practice"

    Python 17 3

  6. kde-similarity-graph kde-similarity-graph Public

    Code for the paper "Fast Approximation of Similarity Graphs with Kernel Density Estimation", at NeurIPS'23.

    C++ 5