Title
Parallel graph analytics.
Abstract
Data-centric abstractions and execution strategies are needed to exploit parallelism in large-scale graph analytics.
Year
DOI
Venue
2016
10.1145/2901919
Communications of the ACM
DocType
Volume
Issue
Journal
59
5
ISSN
Citations 
PageRank 
0001-0782
15
0.64
References 
Authors
23
3
Name
Order
Citations
PageRank
Andrew Lenharth145619.94
Donald Nguyen241917.94
Keshav Pingali33056256.64