Pangolin: An Efficient and Flexible Graph Pattern Mining System on CPU and GPU

16 November 2019

Papers citing "Pangolin: An Efficient and Flexible Graph Pattern Mining System on CPU and GPU"

8 / 8 papers shown

Title
Parallelizing Maximal Clique Enumeration on GPUs M. Almasri Y. Chang I. E. Hajj R. Nagi Jinjun Xiong Wen-mei W. Hwu 18 9 0 02 Dec 2022
Kudu: An Efficient and Scalable Distributed Graph Pattern Mining Engine Jingji Chen Xuehai Qian 19 6 0 08 May 2021
Parallel K-Clique Counting on GPUs M. Almasri I. E. Hajj R. Nagi Jinjun Xiong Wen-mei W. Hwu 21 19 0 27 Apr 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 49 11 0 21 Apr 2021
GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra Maciej Besta Zur Vonarburg-Shmaria Yannick Schaffner Leonardo Schwarz Grzegorz Kwa'sniewski ... Philipp Lindenberger Pavel Kalvoda Marek Konieczny O. Mutlu Torsten Hoefler 30 27 0 05 Mar 2021
Massively Parallel Graph Drawing and Representation Learning Christian Böhm Claudia Plant GNN 9 2 0 06 Nov 2020
Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining Xuhao Chen Roshan Dathathri G. Gill Loc Hoang K. Pingali 19 35 0 05 Nov 2020
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM Bruno Bodin Harry Wagstaff Sajad Saeedi Luigi Nardi Emanuele Vespa ... M. Luján Steve Furber Andrew J. Davison Paul H. J. Kelly Michael F. P. O'Boyle 23 64 0 21 Aug 2018