BIIIG: Enabling business intelligence with integrated instance graphs. - Andre Petermann; Martin Junghanns; Robert Müller 001; Erhard Rahm (ICDE Workshops, 2014)

FoodBroker - Generating Synthetic Datasets for Graph-Based Business Analytics. - André Petermann; Martin Junghanns; Robert Müller 001; Erhard Rahm (WBDB, 2014)

Graph-based Data Integration and Business Intelligence with BIIIG. - Andre Petermann; Martin Junghanns; Robert Müller 001; Erhard Rahm (Proc. VLDB Endow., 2014)

GRADOOP: Scalable Graph Data Management and Analytics with Hadoop. - Martin Junghanns; André Petermann; Kevin Gómez; Erhard Rahm (CoRR, 2015)

Graph Mining for Complex Data Analytics. - André Petermann; Martin Junghanns; Stephan Kemper; Kevin Gómez; Niklas Teichmann; Erhard Rahm (ICDM Workshops, 2016)

Analyzing extended property graphs with Apache Flink. - Martin Junghanns; André Petermann; Niklas Teichmann; Kevin Gómez; Erhard Rahm (NDA@SIGMOD, 2016)

Scalable business intelligence with graph collections. - André Petermann; Martin Junghanns (it Inf. Technol., 2016)

Management and Analysis of Big Graph Data: Current Systems and Open Challenges. - Martin Junghanns; André Petermann; Martin Neumann 004; Erhard Rahm (Handbook of Big Data Technologies, 2017)

DIMSpan: Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems. - André Petermann; Martin Junghanns; Erhard Rahm (BDCAT, 2017)

Distributed Grouping of Property Graphs with Gradoop. - Martin Junghanns; André Petermann; Erhard Rahm (BTW, 2017)

The Big Picture: Understanding large-scale graphs using Graph Grouping with Gradoop. - Martin Junghanns; André Petermann; Niklas Teichmann; Erhard Rahm (BTW, 2017)

Distributed FoodBroker: Skalierbare Generierung graphbasierter Geschäftsprozessdaten. - Stephan Kemper; André Petermann; Martin Junghanns (BTW (Workshops), 2017)

Cypher-based Graph Pattern Matching in Gradoop. - Martin Junghanns; Max Kießling; Alex Averbuch; André Petermann; Erhard Rahm (GRADES@SIGMOD/PODS, 2017)

openCypher: New Directions in Property Graph Querying. - Alastair Green; Martin Junghanns; Max Kießling; Tobias Lindaaker; Stefan Plantikow; Petra Selmer (EDBT, 2018)

Declarative and distributed graph analytics with GRADOOP. - Martin Junghanns; Max Kießling; Niklas Teichmann; Kevin Gómez; André Petermann; Erhard Rahm (Proc. VLDB Endow., 2018)

A GraphBLAS implementation in pure Java. - Florentin Dörre; Alexander Krause 001; Dirk Habich; Martin Junghanns (GRADES-NDA@SIGMOD, 2021)

Distributed temporal graph analytics with GRADOOP. - Christopher Rost; Kevin Gómez; Matthias Täschner; Philip Fritzsche; Lucas Schons; Lukas Christ; Timo Adameit; Martin Junghanns; Erhard Rahm (VLDB J., 2022)