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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53505069ab1f212588a4bd5c730f6566

Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries.

Autor: BESTA, MACIEJ¹ maciej.besta@inf.ethz.ch, GERSTENBERGER, ROBERT¹ robert@gmail.com, PETER, EMANUEL¹ peterem@student.ethz.ch, FISCHER, MARC² marc.fischer@prodyna.com, PODSTAWSKI, MICHAŁ³ mpodstawski@gmail.com, BARTHELS, CLAUDE¹ claudeb@inf.ethz.ch, ALONSO, GUSTAVO¹ alonso@inf.ethz.ch, HOEFLER, TORSTEN¹ torsten.hoefler@inf.ethz.ch

Publikováno v: ACM Computing Surveys. Feb2024, Vol. 56 Issue 2, p1-40. 40p.