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Most Influential SIGMOD 2017 Paper · 2026-03 edition

Graphflow: An Active Graph Database

Chathura Kankanamge; Siddhartha Sahu; Amine Mhedbhi; Jeremy Chen; Semih Salihoglu

Venue
ACM SIGMOD Conference (SIGMOD) 2017
Recognition
Most Influential SIGMOD 2017 Paper (Rank No. 10)
Edition
2026-03
Impact factor
5
Certificate ID
ef42df1643d489e1

Abstract

Many applications detect the emergence or deletion of certain subgraphs in their input graphs continuously. In order to evaluate such continuous subgraph queries, these applications resort to inefficient or highly specialized solutions because existing graph databases are passive systems that only support one-time subgraph queries. We demonstrate <i>Graphflow</i>, a prototype <i>active graph data-base</i> that evaluates general one-time and continuous subgraph queries. Graphflow supports the property graph data model and the Cypher++ query language, which extends Neo4j's declarative Cypher language with <i>subgraph-condition-action triggers</i>. At the core of Graphflow's query processor are two worst-case optimal join algorithms called Generic Join and our new Delta Generic Join algorithm for one-time and continuous subgraph queries, respectively.

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