157 citations · 186 across the 3 of their papers we have counts for
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cs.DC2020★ 157 cited
The Future is Big Graphs! A Community View on Graph Processing Systems
Sherif Sakr, Angela Bonifati, Hannes Voigt +38
Graphs are by nature unifying abstractions that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users a…
cs.DC2017★ 16 cited
G-thinker: Big Graph Mining Made Easier and Faster
Da Yan, Hongzhi Chen, James Cheng +3
This paper proposes a general system for compute-intensive graph mining tasks that find from a big graph all subgraphs that satisfy certain requirements (e.g., graph matching and c…
cs.DC2015★ 13 cited
Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation
Da Yan, James Cheng, Yi Lu +1
Massive graphs, such as online social networks and communication networks, have become common today. To efficiently analyze such large graphs, many distributed graph computing syst…