Sebastian Ehmes (2025):
GIPS: A Graph- and MILP-based Optimization Framework.
Darmstadt, Technische Universität Darmstadt,
DOI: https://doi.org/10.26083/tuprints-00030156,
[Online: https://tuprints.ulb.tu-darmstadt.de/30156],
[Dissertation]

Maximilian Kratz, Sebastian Ehmes, Philipp Maximilian Menzel, Andy Schürr (2025):
Model-Driven Rapid Prototyping for Control Algorithms with the GIPS Framework (System Description).
In: Fourteenth and Fifteenth International Workshop on Graph Computation Models, Leicester, UK and Enschede, the Netherlands, 18.07.2023-18.07.2023 und 09.07.2024-09.07.2024,
In: Joerg Endrullis, Dominik Grzelak, Tobias Heindel, Jens Kosiol (Hrsg.) Electronic Proceedings in Theoretical Computer Science, 417, S. 157-172, ISSN 2075-2180, Open Publishing Association,
DOI: https://dx.doi.org/10.4204/EPTCS.417.9,
[Online: https://cgi.cse.unsw.edu.au/~eptcs/paper.cgi?GCM2023.9],
[Konferenzveröffentlichung]

Maximilian Kratz, Sebastian Ehmes, Marco Volle, Andy Schürr (2024):
Generating Training Data Sets for Machine Learning Approaches with GIPS.
In: Stefan Schulte, Boris Koldehofe (Hrsg.) From Multimedia Communications to the Future Internet: Essays Dedicated to Ralf Steinmetz on the Occasion of His Retirement, 15200, S. 117-139, ISBN 978-3-031-71873-1, Springer,
DOI: https://doi.org/10.1007/978-3-031-71874-8_9,
[Book Section]

Sebastian Ehmes, Maximilian Kratz, Andy Schürr (2022):
Graph-Based Specification and Automated Construction of ILP Problems.
In: Electronic Proceedings in Theoretical Computer Science, S. 3-22, Open Publishing Association,
DOI: https://doi.org/10.4204/EPTCS.374,
[Online: https://cgi.cse.unsw.edu.au/~eptcs/content.cgi?GCM2022],
[Artikel]

Sebastian Ehmes, Maximilian Kratz, Andy Schürr (2022):
Graph-Based Specification and Automated Construction of ILP Problems.
In: Software Technologies: Applications and Foundations (STAF 2022), Nantes, France, 05.07.2022-08.07.2022,
In: GCM 2022: Graph Computation Models - 13th International Workshop Proceedings, S. 1-22,
[Online: https://gcm2022.github.io/proceedings.html],
[Konferenzveröffentlichung]

Nicolas Behr, Bello Shehu Bello, Sebastian Ehmes, Reiko Heckel (2021):
Stochastic Graph Transformation For Social Network Modeling.
In: STAF 2021: Software Technologies: Applications and Foundations, virtual Conference, 21.06.2021-25.06.2021,
In: Berthold Hoffmann, Mark Minas (Hrsg.) Proceedings Twelfth International Workshop on Graph Computational Models, 350, S. 35-50, ISSN 2075-2180, Open Publishing Association,
DOI: https://doi.org/10.4204/EPTCS.350.3,
[Konferenzveröffentlichung]

Sebastian Ehmes, Lars Fritsche, Konrad Altenhofen (2020):
GrapeL: Combining Graph Pattern Matching and Complex Event Processing.
In: 1st International Conference on Systems Modelling and Management (ICSMM 2020), virtual Conference, 25.06.2020-26.06.2020,
Önder Babur, Joachim Denil, Birgit Vogel-Heuser (Hrsg.) S. 180-196, ISBN 978-3-030-58166-4, Springer,
DOI: https://doi.org/10.1007/978-3-030-58167-1_13,
[Konferenzveröffentlichung]

Sebastian Ehmes, Lars Fritsche, Andy Schürr (2019):
SimSG: Rule-based Simulation using Stochastic Graph Transformation.
In: Journal of Object Technology, S. 1-17, AITO,
DOI: https://doi.org/10.5381/jot.2019.18.3.a1,
[Online: https://doi.org/10.5381/jot.2019.18.3.a1],
[Artikel]