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20082022
most citedThe Future is Big Graphs! A Community View on Graph Processing Systems

157 citations · 350 across the 11 of their papers we have counts for

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Showing cs.DBShow all

5 papers · 1 filter

cs.DB2020★ 8 cited

Graph Generators: State of the Art and Open Challenges

Angela Bonifati, Irena Holubová, Arnau Prat-Pérez +1

The abundance of interconnected data has fueled the design and implementation of graph generators reproducing real-world linking properties, or gauging the effectiveness of graph a…

cs.DB2017

Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service

Radwa Elshawi, Sherif Sakr

Recently, we have been witnessing huge advancements in the scale of data we routinely generate and collect in pretty much everything we do, as well as our ability to exploit modern…

cs.DB2013★ 7 cited

The Family of MapReduce and Large Scale Data Processing Systems

Sherif Sakr, Anna Liu, Ayman G. Fayoumi

In the last two decades, the continuous increase of computational power has produced an overwhelming flow of data which has called for a paradigm shift in the computing architectur…

cs.DB2012★ 6 cited

Extending SPARQL to Support Entity Grouping and Path Queries

Seyed-Mehdi-Reza Beheshti, Sherif Sakr, Boualem Benatallah +1

The ability to efficiently find relevant subgraphs and paths in a large graph to a given query is important in many applications including scientific data analysis, social networks…

cs.DB2008★ 7 cited

An Experimental Investigation of XML Compression Tools

Sherif Sakr

This paper presents an extensive experimental study of the state-of-the-art of XML compression tools. The study reports the behavior of nine XML compressors using a large corpus of…