ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations

Autor: Maciej Besta, Cesare Miglioli, Paolo Sylos Labini, Jakub Tětek, Patrick Iff, Raghavendra Kanakagiri, Saleh Ashkboos, Kacper Janda, Michał Podstawski, Grzegorz Kwaśniewski, Niels Gleinig, Flavio Vella, Onur Mutlu, Torsten Hoefler

Publikováno v: Besta, M, Miglioli, C, Labini, P S, Tetek, J, Iff, P, Kanakagiri, R, Ashkboos, S, Janda, K, Podstawski, M, Kwasniewski, G, Gleinig, N, Vella, F, Mutlu, O & Hoefler, T 2022, ProbGraph : High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations . in Proceedings of SC 2022 : International Conference for High Performance Computing, Networking, Storage and Analysis . IEEE, International Conference for High Performance Computing, Networking, Storage and Analysis, SC, vol. 2022-November, pp. 1-17, 2022 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2022, Dallas, United States, 13/11/2022 . https://doi.org/10.1109/SC41404.2022.00048

Important graph mining problems such as Clustering are computationally demanding. To significantly accelerate these problems, we propose ProbGraph: a graph representation that enables simple and fast approximate parallel graph mining with strong theo

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