Large Scale Graph Mining with G-Miner-Reference-Cited by-同舟云学术

Large Scale Graph Mining with G-Miner

Published:2019-06-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 International Conference on Management of Data
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Author:

Chen Hongzhi¹,Wang Xiaoxi¹,Huang Chenghuan¹,Fang Juncheng¹,Hou Yifan²,Li Changji¹,Cheng James¹

Affiliation:

1. Chinese University of Hong Kong, Hong Kong, Hong Kong

2. The Chinese University of Hong Kong, Hong Kong, Hong Kong

Funder

General Research Fund from the Hong Kong RGC

Innovation and Technology Fund from the Government of the Hong Kong

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3299869.3320219

Reference7 articles.

1. G-Miner

2. Pregel

3. Frank McSherry Michael Isard and Derek Gordon Murray. 2015. Scalability! But at what COST?. In HotOS. Frank McSherry Michael Isard and Derek Gordon Murray. 2015. Scalability! But at what COST?. In HotOS.

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

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

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