TRIÈST: Counting Local and Global Triangles in Fully-Dynamic Streams with Fixed Memory Size

Article Details
Title:	TRIÈST: Counting Local and Global Triangles in Fully-Dynamic Streams with Fixed Memory Size
Article URLs:	https://doi.org/10.1145/2939672.2939771 https://www.wikidata.org/entity/Q60113144
Alternative Article URLs:
Authors:	Lorenzo De Stefani	Brown University
	Alessandro Epasto	Google
	Matteo Riondato	Two Sigma Investments
	Eli Upfal	Brown University
Sharing:	Unknown
Verification:	Authors have not verified information
Artifact Evaluation Badge:	none
Artifact URLs:	http://bigdata.cs.brown.edu/triangles.html
Artifact Correspondence Email Addresses:
NSF Award Numbers:	1247581
DBLP Key:	conf/kdd/StefaniERU16
Author Comments:

ACM Knowledge Discovery and Data Mining, KDD 2016