Bridging the GAP

Author:

Iyer Anand Padmanabha1,Panda Aurojit2,Venkataraman Shivaram3,Chowdhury Mosharaf4,Akella Aditya3,Shenker Scott1,Stoica Ion1

Affiliation:

1. University of California

2. NYU

3. University of Wisconsin

4. University of Michigan

Publisher

ACM

Reference31 articles.

1. {n. d.}. Graph DBMS increased their popularity by 500% within the last 2 years. http://db-engines.eom/en/blog_post//43. ({n. d.}). {n. d.}. Graph DBMS increased their popularity by 500% within the last 2 years. http://db-engines.eom/en/blog_post//43. ({n. d.}).

2. {n. d.}. Graph500 Benchmarks. http://www.graph500.org. ({n. d.}). {n. d.}. Graph500 Benchmarks. http://www.graph500.org. ({n. d.}).

3. {n. d.}. Stanford Large Network Dataset Collection. https://snap.stanford.edu/. ({n. d.}). {n. d.}. Stanford Large Network Dataset Collection. https://snap.stanford.edu/. ({n. d.}).

4. 2016. Graph Data Use-eases. https://neo4j.com/resourees/2016-state-of-the-graph/. (2016). 2016. Graph Data Use-eases. https://neo4j.com/resourees/2016-state-of-the-graph/. (2016).

5. BlinkDB

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