1 code implementation • 20 Aug 2024 • Florian Grötschla, Joël Mathys, Christoffer Raun, Roger Wattenhofer
Therefore, we propose a novel framework: GraphFSA (Graph Finite State Automaton).
1 code implementation • 9 Feb 2024 • Florian Grötschla, Joël Mathys, Robert Veres, Roger Wattenhofer
We introduce a scalable Graph Neural Network (GNN) based Graph Drawing framework with sub-quadratic runtime that can learn to optimize stress.
1 code implementation • 30 Oct 2023 • Stefan Künzli, Florian Grötschla, Joël Mathys, Roger Wattenhofer
We propose SURF, a benchmark designed to test the $\textit{generalization}$ of learned graph-based fluid simulators.
no code implementations • 10 Oct 2023 • Joël Mathys, Florian Grötschla, Kalyan Varma Nadimpalli, Roger Wattenhofer
We test the Flood and Echo Net on a variety of synthetic tasks and the SALSA-CLRS benchmark and find that the algorithmic alignment of the execution improves generalization to larger graph sizes.
1 code implementation • 21 Sep 2023 • Julian Minder, Florian Grötschla, Joël Mathys, Roger Wattenhofer
We introduce an extension to the CLRS algorithmic learning benchmark, prioritizing scalability and the utilization of sparse representations.
1 code implementation • 14 Mar 2023 • Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David Kreil, Sepp Hochreiter
We only provide vehicle count data from spatially sparse stationary vehicle detectors in these three cities as model input for this task.
no code implementations • 7 Mar 2023 • Giacomo Camposampiero, Loic Houmard, Benjamin Estermann, Joël Mathys, Roger Wattenhofer
While artificial intelligence (AI) models have achieved human or even superhuman performance in many well-defined applications, they still struggle to show signs of broad and flexible intelligence.
1 code implementation • 9 Dec 2022 • Florian Grötschla, Joël Mathys, Roger Wattenhofer
In order to scale, we focus on a recurrent architecture design that can learn simple graph problems end to end on smaller graphs and then extrapolate to larger instances.
2 code implementations • 21 Nov 2022 • Florian Grötschla, Joël Mathys
Traffic4cast is an annual competition to predict spatio temporal traffic based on real world data.