DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks PA Papp, K Martinkus, L Faber, R Wattenhofer NeurIPS 2021: 35th Conference on Neural Information Processing Systems, 2021 | 168 | 2021 |
A Theoretical Comparison of Graph Neural Network Extensions PA Papp, R Wattenhofer ICML 2022: 39th International Conference on Machine Learning, 2022 | 51 | 2022 |
Default Ambiguity: Finding the Best Solution to the Clearing Problem PA Papp, R Wattenhofer WINE 2021: 17th Conference on Web and Internet Economics, 2021 | 22 | 2021 |
Network-Aware Strategies in Financial Systems PA Papp, R Wattenhofer ICALP 2020: 47th International Colloquium on Automata, Languages, and …, 2020 | 22 | 2020 |
Agent-based Graph Neural Networks K Martinkus, PA Papp, B Schesch, R Wattenhofer ICLR 2023: 11th International Conference on Learning Representations, 2023 | 15 | 2023 |
Debt Swapping for Risk Mitigation in Financial Networks PA Papp, R Wattenhofer EC 2021: 22nd ACM Conference on Economics and Computation, 2021 | 15 | 2021 |
Sequential Defaulting in Financial Networks PA Papp, R Wattenhofer ITCS 2021: 12th Innovations in Theoretical Computer Science Conference 185 …, 2021 | 15 | 2021 |
Formula partitioning revisited ZÁ Mann, PA Papp POS-14: 5th Pragmatics of SAT workshop, 41-56, 2014 | 15 | 2014 |
Low-stretch spanning trees PA Papp, S Kisfaludi-Bak, Z Király Undergraduate thesis, Eötvös Loránd University, 2014 | 13 | 2014 |
On the Hardness of Red-Blue Pebble Games PA Papp, R Wattenhofer SPAA 2020: Proceedings of the 32nd ACM Symposium on Parallelism in …, 2020 | 9 | 2020 |
Partitioning Hypergraphs is Hard: Models, Inapproximability, and Applications PA Papp, G Anegg, AN Yzelman SPAA 2023: 35th ACM Symposium on Parallelism in Algorithms and Architectures, 2023 | 8 | 2023 |
DAG Scheduling in the BSP Model PA Papp, G Anegg, AN Yzelman arXiv preprint arXiv:2303.05989, 2023 | 8 | 2023 |
Stabilization Time in Minority Processes PA Papp, R Wattenhofer ISAAC 2019: 30th International Symposium on Algorithms and Computation 149 …, 2019 | 7 | 2019 |
Guiding SAT solving by formula partitioning ZÁ Mann, PA Papp International Journal on Artificial Intelligence Tools 26 (04), 1750011, 2017 | 6 | 2017 |
Predicting algorithmic complexity through structure analysis and compression ZÁ Mann, PA Papp Applied Soft Computing 13 (8), 3582-3596, 2013 | 5 | 2013 |
Stabilization Time in Weighted Minority Processes PA Papp, R Wattenhofer STACS 2019: 36th International Symposium on Theoretical Aspects of Computer …, 2019 | 4 | 2019 |
Red-Blue Pebbling with Multiple Processors: Time, Communication and Memory Trade-offs T Böhnlein, PA Papp, AN Yzelman SPAA 2024 (Brief Annoucement): 36th ACM Symposium on Parallelism in …, 2024 | 2* | 2024 |
An Introduction to Graph Neural Networks from a Distributed Computing Perspective PA Papp, R Wattenhofer ICDCIT 2022: 18th International Conference on Distributed Computing and …, 2022 | 2 | 2022 |
Efficient Multi-Processor Scheduling in Increasingly Realistic Models PA Papp, G Anegg, A Karanasiou, AN Yzelman SPAA 2024: 36th ACM Symposium on Parallelism in Algorithms and Architectures, 2024 | 1* | 2024 |
A General Stabilization Bound for Influence Propagation in Graphs PA Papp, R Wattenhofer ICALP 2020: 47th International Colloquium on Automata, Languages, and …, 2020 | 1 | 2020 |