| Room: | 2.077 |
| Phone: | +49 (228) 73-69917 |
| E-Mail: | petra.mutzel |
| Address: | Institute for Computer Science 1, Friedrich-Hirzebruch-Allee 8 |
Chair of Computational Analytics
In addition: Scientific Director of HPC/A Lab at DiCe
Our paper titled "Enhancing Graph Edit Distance Computation: Stronger and Orientation-based ILP Formulations" co-authored by Andrea D'axcezo, Julian Meffert, Petra Mutzel and Fabrizio Rossi, has appeared in the Proceedings for the VLDB Endowment (VLDB) 2025 (A* ranked). In there, we suggest new ILP formulations for the graph edit distance problem, and theoretically show that they theoretically and practically dominate all existing ones. We are able to solve many more instances (and much larger sizes) from the standard benchmark instances to provable optimality as previous approaches.
Timothy Mattson is Honorary Professor of the University of Bristol and regarded as an important co-founder of OpenMP (an API supporting multi-platform shared-memory multiprocessing programming). During his time at Intel, he has also worked on the further development of MPI, PyOMP, and GraphBLAS. He has written over 150 publications including six books on parallel computing. He will visit Bonn University during the week of March 24-28, 2025, in order to provide three workshops on various aspects of parallel programming using OpenMP. Please visit the webpage for more information.
The Symposium of Experimental Algorithms 2025 (SEA 2025) has taken place from 22 to 24 July 2025 in Venice, Italy. The co-chairs have been Petra Mutzel and Nicola Prezza. SEA aims to attract papers from the Computer Science community, the Operations Research/Mathematical Programming community and any other scientific community that is concerned with the main theme of the symposium, namely the role of experimentation and of algorithm engineering techniques in the design and evaluation of algorithms and data structures. The Proceedings are available here.
Also see Google Scholar (h-index >= 52) and DBLP or io-port.net. My ORCID code is 0000-0001-7621-971X.