Martin Junghanns

According to our database, Martin Junghanns authored at least 17 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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

2021

A GraphBLAS implementation in pure Java.

Florentin Dörre, Alexander Krause, Dirk Habich, Martin Junghanns

Proceedings of the GRADES-NDA '21: Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2021

2018

Declarative and distributed graph analytics with GRADOOP.

Martin Junghanns, Max Kießling, Niklas Teichmann, Kevin Gómez, André Petermann, Erhard Rahm

Proc. VLDB Endow., 2018

openCypher: New Directions in Property Graph Querying.

Alastair Green, Martin Junghanns, Max Kießling, Tobias Lindaaker, Stefan Plantikow, Petra Selmer

Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017

Cypher-based Graph Pattern Matching in Gradoop.

Martin Junghanns, Max Kießling, Alex Averbuch, André Petermann, Erhard Rahm

Proceedings of the Fifth International Workshop on Graph Data-management Experiences & Systems, 2017

Distributed FoodBroker: Skalierbare Generierung graphbasierter Geschäftsprozessdaten.

Stephan Kemper, André Petermann, Martin Junghanns

Proceedings of the Datenbanksysteme für Business, 2017

The Big Picture: Understanding large-scale graphs using Graph Grouping with Gradoop.

Martin Junghanns, André Petermann, Niklas Teichmann, Erhard Rahm

Proceedings of the Datenbanksysteme für Business, 2017

Distributed Grouping of Property Graphs with Gradoop.

Martin Junghanns, André Petermann, Erhard Rahm

Proceedings of the Datenbanksysteme für Business, 2017

DIMSpan: Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems.

André Petermann, Martin Junghanns, Erhard Rahm

Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, 2017

Management and Analysis of Big Graph Data: Current Systems and Open Challenges.

Martin Junghanns, André Petermann, Martin Neumann, Erhard Rahm

Proceedings of the Handbook of Big Data Technologies, 2017

2016

Scalable business intelligence with graph collections.

André Petermann, Martin Junghanns

it Inf. Technol., 2016

Analyzing extended property graphs with Apache Flink.

Martin Junghanns, André Petermann, Niklas Teichmann, Kevin Gómez, Erhard Rahm

Proceedings of the 1st ACM SIGMOD Workshop on Network Data Analytics, 2016

Graph Mining for Complex Data Analytics.

André Petermann, Martin Junghanns, Stephan Kemper, Kevin Gómez, Niklas Teichmann, Erhard Rahm

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

GRADOOP: Scalable Graph Data Management and Analytics with Hadoop.

Martin Junghanns, André Petermann, Kevin Gómez, Erhard Rahm

CoRR, 2015

2014

Graph-based Data Integration and Business Intelligence with BIIIG.

Andre Petermann, Martin Junghanns, Robert Müller, Erhard Rahm

Proc. VLDB Endow., 2014

FoodBroker - Generating Synthetic Datasets for Graph-Based Business Analytics.

André Petermann, Martin Junghanns, Robert Müller, Erhard Rahm

Proceedings of the Big Data Benchmarking - 5th International Workshop, 2014

BIIIG: Enabling business intelligence with integrated instance graphs.

Andre Petermann, Martin Junghanns, Robert Müller, Erhard Rahm

Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014