• Kevin Gomez

About

  • 2018 Master of Science (M.Sc.) Computer Science at Leipzig University
  • 2016 Bachelor of Science (B.Sc.) Computer Science at Leipzig University

Interests

  • Distributed Computation Frameworks (Apache Flink, Apache Spark)
  • Distributed Graph Processing (Apache Giraph, Gelly, GraphX)
  • Stream Processing and State Handling

Selected Talks

Betreute Abschlussarbeiten (9)

Jahr Typ Student Titel Status
2025 B. Sc. Johann Jakob Kurzmann Temporal Vector Embeddings in Neo4j Abgeschlossen
2024 B. Sc. Linus Andreas Schneider Explorative Graph-Level Embeddings of Temporal Property Graphs Abgeschlossen
2022 B. Sc. Maurice Eisenblätter Optimierung des GRADOOP I/O mittels Columnar Store Apache Parquet Abgeschlossen
2022 M. Sc. Simon Bordewisch Flexible Graphstream-Analyse mittels Apache Flinks DataStream-API Abgeschlossen
2020 M. Sc. Lukas Christ Distributed Graph Pattern Matching on Evolving Graphs Abgeschlossen
2020 B. Sc. Lucas Schons Distributed Graph Layouting on Graph Collections Abgeschlossen
2020 M. Sc. Timo Adameit Evaluation des EPGM auf Basis von Apache Spark Abgeschlossen
2019 M. Sc. Daniel Baumgarten Distributed Graph Layouting Algorithm with GRADOOP Abgeschlossen
2019 M. Sc. Elias Saalmann Relationale Abstraktion des EPGM unter Verwendung der Apache Flink Table-API Abgeschlossen

Publications (10)

Dateien Cover Beschreibung Jahr
Evolution of Degree Metrics in Large Temporal Graphs
Rost, C. ; Gomez, K. ; Christen, P. ; Rahm, E.
Conference on Database Systems for Business, Technology and Web (BTW) 2023
2023 / 3
Distributed temporal graph analytics with GRADOOP
Rost, C. ; Gomez, K. ; Täschner, M. ; Fritzsche, P. ; Schons, L. ; Christ, L. ; Adameit, T. ; Junghanns, M. ; Rahm, E.
VLDB Journal 2021 Special Issue Paper
2021 / 5
Exploration and Analysis of Temporal Property Graphs
Rost, C. ; Gomez, K. ; Fritzsche, P. ; Thor, A. ; Rahm, E.
24th International Conference on Extending Database Technology (EDBT)
2021 / 3
Graph Sampling with Distributed In-Memory Dataflow Systems
Gomez, K. ; Täschner, M. ; Rostami, M. ; Rost, C. ; Rahm, E.
Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2021
2021 / 3
Distributed Graph Sampling with In-Memory Dataflow Systems
Gomez, K. ; Täschner, M. ; Rostami, M. ; Rost, C. ; Rahm, E.
Techn. Report, Univ. of Leipzig, arXiv:1910.04493, Oct 2019
2019 / 10
Evolution Analysis of Large Graphs with Gradoop
Rost, C. ; Thor, A. ; Fritzsche, P. ; Gomez, K. ; Rahm, E.
Proc. of Intl. Workshop on Advances in managing and mining large evolving graphs (LEG@ECML-PKDD)
2019 / 9
Declarative and distributed graph analytics with GRADOOP
Junghanns, M. ; Kießling, M. ; Teichmann, N. ; Gomez, K. ; Petermann, A. ; Rahm, E.
PVLDB
2018 / 8
Graph Mining for Complex Data Analytics
Petermann, A. ; Junghanns, M. ; Kemper, S. ; Gomez, K. ; Teichmann, N. ; Rahm, E.
Proc. ICDM 2016 (Demo paper)
2016 / 12
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
GRADOOP: Scalable Graph Data Management and Analytics with Hadoop
Junghanns, M. ; Petermann, A. ; Gomez, K. ; Rahm, E.
Techn. Report, Univ. of Leipzig, arXiv:1506.00548, June 2015
2015 / 6