Graph Stream Processing
Graph Stream Processing is a computational framework within graph analytics that enables the continuous ingestion, analysis, and transformation of dynamically evolving graph data through time-ordered sequences of graph updates or events.
152
Publications
9.4K
Citations
377
Authors
175
Institutions
Publications per year
2017–2026
64
Parents
152
Amitabha Roy, Ivo Mihailovic, Willy Zwaenepoel · 2013 · 687 citations · Full text
Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou et al. · 2007 · 545 citations
Graph Twiddling in a MapReduce World
Jeffrey P. Cohen · Computing in Science & Engineering · 2009 · 416 citations
Andrew McGregor · ACM SIGMOD Record · 2014 · 365 citations
Charalampos E. Tsourakakis, Christos Gkantsidis, Božidar Radunović et al. · 2014 · 332 citations
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175
Georgia Institute of Technology
Atlanta, United States
10 h-index
25 publications
1.5K citations
IBM (United States)
Armonk, United States
9 h-index
12 publications
1.8K citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
10 publications
1.6K citations
Tsinghua University
Beijing, China
6 h-index
15 publications
886 citations

Washington State University
Pullman, United States
5 h-index
13 publications
196 citations

University of Massachusetts Amherst
Amherst Center, United States
5 h-index
8 publications
393 citations

Xi'an Jiaotong University
Xi'an, China
5 h-index
22 publications
397 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
5 h-index
8 publications
896 citations
1–8 of 175
PVLDB · 16 publications · 1.2K citations
15
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TKDD · 8 publications · 474 citations
8
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Repository · 7 publications · 135 citations
7
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TKDE · 6 publications · 163 citations
6
h-index
2 publications · 126 citations
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