@inproceedings{18173,
  keywords = {combinatorial optimization experimental algorithmics parallel algorithms},
  author = {George Karypis and Christian Schulz and Darren Strash and Deepak Ajwani and Rob Bisseling and Katrin Casel and {\"U}mit {\c C}ataly{\"u}rek V and C{\'e}dric Chevalier and Florian Chudigiewitsch and Marcelo Faraj and Michael Fellows and Lars Gottesb{\"u}ren and Tobias Heuer and Kamer Kaya and Jakub Lacki and Johannes Langguth and Xiaoye Li and Ruben Mayer and Johannes Meintrup and Yosuke Mizutani and Fran{\c c}ois Pellegrini and Fabrizio Petrini and Frances Rosamond and Ilya Safro and Sebastian Schlag and Roohani Sharma and Blair Sullivan and Bora U{\c c}ar and Albert-Jan Yzelman},
  title = {Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331)},
  abstract = {his report documents the program and the outcomes of Dagstuhl Seminar 23331" Recent Trends in Graph Decomposition", which took place from 13. August to 18. August, 2023. The seminar brought together 33 experts from academia and industry to discuss graph decomposition, a pivotal technique for handling massive graphs in applications such as social networks and scientific simulations. The seminar addressed the challenges posed by contemporary hardware designs, the potential of deep neural networks and reinforcement learning in developing heuristics, the unique optimization requirements of large sparse data, and the need for scalable algorithms suitable for emerging architectures. Through presentations, discussions, and collaborative sessions, the event fostered an exchange of innovative ideas, leading to the creation of community notes highlighting key open problems in the field.},
  year = {2024},
  journal = {Dagstuhl Seminar 23331},
  volume = {13},
  edition = {8},
  pages = {1-45},
  month = {2024},
  publisher = {Schloss Dagstuhl{\textendash}Leibniz-Zentrum f{\"u}r Informatik},
  address = {Wadern},
  url = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.8.1},
  doi = {10.4230/DagRep.13.8.1},
}