• Martin Junghanns

Publications (17)

Dateien Cover Beschreibung Jahr
Distributed temporal graph analytics with GRADOOP
Rost, C. ; Gomez, K. ; Taeschner, M. ; Fritzsche, P. ; Schons, L. ; Christ, L. ; Adameit, T. ; Junghanns, M. ; Rahm, E.
VLDB Journal 2021 Special Issue Paper
2021 / 5
openCypher: New Directions in Property Graph Querying
Green, A. ; Junghanns, M. ; Kießling, M. ; Lindaaker, T. ; Plantikow, S. ; Selmer, P.
Proc. EDBT (tutorial paper)
2018 / 3
Declarative and distributed graph analytics with GRADOOP
Junghanns, M. ; Kießling, M. ; Teichmann, N. ; Gomez, K. ; Petermann, A. ; Rahm, E.
PVLDB
2018 / 8
Management and Analysis of Big Graph Data: Current Systems and Open Challenges
Junghanns, M. ; Petermann, A. ; Neumann, M. ; Rahm, E.
In: Handbook of Big Data Technologies (eds.: A. Zomaya, S. Sakr) , Springer 2017, to appear
2017 / 2
The Big Picture: Understanding large-scale graphs using Graph Grouping with GRADOOP
Junghanns, M. ; Petermann, A. ; Teichmann, N. ; Rahm, E.
Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2017 (Demo paper)
2017 / 3
Distributed Grouping of Property Graphs with GRADOOP
Junghanns, M. ; Petermann, A. ; Rahm, E.
Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2017
2017 / 3
DIMSpan - Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems
Petermann, A. ; Junghanns, M. ; Rahm, E.
Proc. Int. Conf. on Big Data Computing, Applications and Technologies (BDCAT) 2017, pp 237-246
2017 / 12
Cypher-based Graph Pattern Matching in Gradoop
Junghanns, M. ; Kießling, M. ; Averbuch, A. ; Petermann, A. ; Rahm, E.
Proc. ACM SIGMOD workshop on Graph Data Management Experiences and Systems (GRADES)
2017 / 5
Distributed FoodBroker: Skalierbare Generierung graphbasierter Geschäftsprozessdaten.
Kemper, S. ; Petermann, A. ; Junghanns, M.
Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2017 (Workshops)
2017 / 3
Analyzing Extended Property Graphs with Apache Flink
Junghanns, M. ; Petermann, A. ; Teichmann, N. ; Gomez, K. ; Rahm, E.
Proc. Int. SIGMOD workshop on Network Data Analytics (NDA)
2016 / 7