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ORCIDJoël Mathys
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2020 – today
- 2024
[c6]Florian Grötschla, Joël Mathys, Christoffer Raun, Roger Wattenhofer:
GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs. ECAI 2024: 2935-2942- [c5]Florian Grötschla, Joël Mathys, Robert Veres, Roger Wattenhofer:
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs. ICLR 2024 - [i9]Florian Grötschla, Joël Mathys, Robert Veres, Roger Wattenhofer:
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs. CoRR abs/2402.06706 (2024) - [i8]Florian Grötschla, Joël Mathys, Christoffer Raun, Roger Wattenhofer:
GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs. CoRR abs/2408.11042 (2024) - 2023
- [c4]Giacomo Camposampiero, Loïc Houmard, Benjamin Estermann, Joël Mathys, Roger Wattenhofer:
Abstract Visual Reasoning Enabled by Language. CVPR Workshops 2023: 2643-2647 - [c3]Stefan Künzli, Florian Grötschla, Joël Mathys, Roger Wattenhofer:
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics. LoG 2023: 13 - [i7]Giacomo Camposampiero, Loïc Houmard, Benjamin Estermann, Joël Mathys, Roger Wattenhofer:
Visual Abstraction and Reasoning through Language. CoRR abs/2303.04091 (2023) - [i6]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 P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR abs/2303.07758 (2023) - [i5]Julian Minder, Florian Grötschla, Joël Mathys, Roger Wattenhofer:
SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning. CoRR abs/2309.12253 (2023) - [i4]Joël Mathys, Florian Grötschla, Kalyan Varma Nadimpalli, Roger Wattenhofer:
Flood and Echo: Algorithmic Alignment of GNNs with Distributed Computing. CoRR abs/2310.06970 (2023) - [i3]Stefan Künzli, Florian Grötschla, Joël Mathys, Roger Wattenhofer:
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics. CoRR abs/2310.20049 (2023) - 2022
- [c2]Joël Mathys, Robin Fritsch, Roger Wattenhofer:
Decentralized Graph Processing for Reachability Queries. ADMA (1) 2022: 505-519 - [i2]Florian Grötschla, Joël Mathys:
Hierarchical Graph Structures for Congestion and ETA Prediction. CoRR abs/2211.11762 (2022) - [i1]Florian Grötschla, Joël Mathys, Roger Wattenhofer:
Learning Graph Algorithms With Recurrent Graph Neural Networks. CoRR abs/2212.04934 (2022) - 2021
- [c1]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 P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. NeurIPS (Competition and Demos) 2021: 251-278
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