Large Scale Graph Mining with G-Miner
Refereed conference paper presented and published in conference proceedings

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AbstractThis Demo presents G-Miner, a distributed system for graph mining. The take-aways for Demo attendees are: (1) a good understanding of the challenges of various graph mining workloads; (2) useful insights on howto design a good system for graph mining by comparing G-Miner with existing systems on performance, expressiveness and user-friendliness; and (3) how to use G-Miner for interactive graph analytics.
All Author(s) ListHongzhi Chen, Xiaoxi Wang, Chenghuan Huang, Juncheng Fang, Yifan Hou, Changji Li, James Cheng
Name of ConferenceACM SIGMOD International Conference on Management of Data
Start Date of Conference30/06/2019
End Date of Conference05/07/2019
Place of ConferenceAmsterdam
Country/Region of ConferenceNetherlands
Proceedings TitleProceedings of the ACM SIGMOD International Conference on Management of Data
Pages1881 - 1884
LanguagesEnglish-United States

Last updated on 2021-19-09 at 00:08