Joël Mathys

According to our database, Joël Mathys authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs.

Florian Grötschla, Joël Mathys, Robert Veres, Roger Wattenhofer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs.

Florian Grötschla, Joël Mathys, Christoffer Raun, Roger Wattenhofer

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Flood and Echo: Algorithmic Alignment of GNNs with Distributed Computing.

Joël Mathys, Florian Grötschla, Kalyan Varma Nadimpalli, Roger Wattenhofer

CoRR, 2023

SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning.

Julian Minder, Florian Grötschla, Joël Mathys, Roger Wattenhofer

CoRR, 2023

Visual Abstraction and Reasoning through Language.

Giacomo Camposampiero, Loïc Houmard, Benjamin Estermann, Joël Mathys, Roger Wattenhofer

CoRR, 2023

SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics.

Stefan Künzli, Florian Grötschla, Joël Mathys, Roger Wattenhofer

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Abstract Visual Reasoning Enabled by Language.

Giacomo Camposampiero, Loïc Houmard, Benjamin Estermann, Joël Mathys, Roger Wattenhofer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning Graph Algorithms With Recurrent Graph Neural Networks.

Florian Grötschla, Joël Mathys, Roger Wattenhofer

CoRR, 2022

Hierarchical Graph Structures for Congestion and ETA Prediction.

Florian Grötschla, Joël Mathys

CoRR, 2022

Decentralized Graph Processing for Reachability Queries.

Joël Mathys, Robin Fritsch, Roger Wattenhofer

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021