activity
20152021
most citedG-thinker: Big Graph Mining Made Easier and Faster

16 citations · 28 across the 4 of their papers we have counts for

collaborators

8 papers

cs.DB20216 cited

sGrapp: Butterfly Approximation in Streaming Graphs

Aida Sheshbolouki, M. Tamer Özsu

We study the fundamental problem of butterfly (i.e. (2,2)-bicliques) counting in bipartite streaming graphs. Similar to triangles in unipartite graphs, enumerating butterflies is c…

cs.DB2021

Evaluating Complex Queries on Streaming Graphs

Anil Pacaci, Angela Bonifati, M. Tamer Özsu

We study the problem of evaluating persistent queries over streaming graphs in a principled fashion. These queries need to be evaluated over unbounded and very high speed graph str…

cs.DB2020

Regular Path Query Evaluation on Streaming Graphs

Anil Pacaci, Angela Bonifati, M. Tamer Özsu

We study persistent query evaluation over streaming graphs, which is becoming increasingly important. We focus on navigational queries that determine if there exists a path between…

cs.DB2019

GSI: GPU-friendly Subgraph Isomorphism

Li Zeng, Lei Zou, M. Tamer Özsu +2

Subgraph isomorphism is a well-known NP-hard problem that is widely used in many applications, such as social network analysis and query over the knowledge graph. Due to the inhere…

cs.DC2018

Experimental Analysis of Distributed Graph Systems

Khaled Ammar, Tamer Ozsu

This paper evaluates eight parallel graph processing systems: Hadoop, HaLoop, Vertica, Giraph, GraphLab (PowerGraph), Blogel, Flink Gelly, and GraphX (SPARK) over four very large d…

cs.DC201716 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…