T-thinker-Reference-Cited by-同舟云学术

T-thinker

Published:2019-02-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming
language:
Short-container-title:

Author:

Yan Da¹,Guo Guimu¹,Chowdhury Md Mashiur Rahman¹,Özsu M. Tamer²,Lui John C. S.³,Tan Weida¹

Affiliation:

1. University of Alabama at Birmingham

2. University of Waterloo

3. The Chinese University of Hong Kong

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3293883.3295709

Reference6 articles.

1. G-Miner

2. Triangle listing in massive networks

3. Guimei Liu and Limsoon Wong. 2008. Effective Pruning Techniques for Mining Quasi-Cliques. In PKDD. 33--49. Guimei Liu and Limsoon Wong. 2008. Effective Pruning Techniques for Mining Quasi-Cliques. In PKDD. 33--49.

4. NScale: neighborhood-centric large-scale graph analytics in the cloud

5. Carlos H. C. Teixeira Alexandre J. Fonseca Marco Serafini Georgos Siganos Mohammed J. Zaki and Ashraf Aboulnaga. 2015. Arabesque: a system for distributed graph mining. In SOSP. 425--440. 10.1145/2815400.2815410 Carlos H. C. Teixeira Alexandre J. Fonseca Marco Serafini Georgos Siganos Mohammed J. Zaki and Ashraf Aboulnaga. 2015. Arabesque: a system for distributed graph mining. In SOSP. 425--440. 10.1145/2815400.2815410

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach;Proceedings of the ACM on Management of Data;2023-11-13

3. Distributed Task-Based Training of Tree Models;2022 IEEE 38th International Conference on Data Engineering (ICDE);2022-05

4. Parallel mining of large maximal quasi-cliques;The VLDB Journal;2021-11-26

5. PrefixFPM: a parallel framework for general-purpose mining of frequent and closed patterns;The VLDB Journal;2021-08-09