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 006; Martin Lumiste; Andrei Ilie; et al. (NeurIPS (Competition and Demos), 2021)

Decentralized Graph Processing for Reachability Queries. - Joël Mathys; Robin Fritsch; Roger Wattenhofer (ADMA (1), 2022)

Hierarchical Graph Structures for Congestion and ETA Prediction. - Florian Grötschla; Joël Mathys (CoRR, 2022)

Learning Graph Algorithms With Recurrent Graph Neural Networks. - Florian Grötschla; Joël Mathys; Roger Wattenhofer (CoRR, 2022)

Abstract Visual Reasoning Enabled by Language. - Giacomo Camposampiero; Loïc Houmard; Benjamin Estermann; Joël Mathys; Roger Wattenhofer (CVPR Workshops, 2023)

SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics. - Stefan Künzli; Florian Grötschla; Joël Mathys; Roger Wattenhofer (LoG, 2023)

Visual Abstraction and Reasoning through Language. - Giacomo Camposampiero; Loïc Houmard; Benjamin Estermann; Joël Mathys; Roger Wattenhofer (CoRR, 2023)

SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning. - Julian Minder; Florian Grötschla; Joël Mathys; Roger Wattenhofer (CoRR, 2023)

Flood and Echo: Algorithmic Alignment of GNNs with Distributed Computing. - Joël Mathys; Florian Grötschla; Kalyan Varma Nadimpalli; Roger Wattenhofer (CoRR, 2023)

GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs. - Florian Grötschla; Joël Mathys; Christoffer Raun; Roger Wattenhofer (ECAI, 2024)

CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs. - Florian Grötschla; Joël Mathys; Robert Veres; Roger Wattenhofer (ICLR, 2024)

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks. - Niccolò Grillo; Andrea Toccaceli; Joël Mathys; Benjamin Estermann; Stefania Fresca; Roger Wattenhofer (CoRR, 2025)

Synthetic Data for Blood Vessel Network Extraction. - Joël Mathys; Andreas Plesner; Jorel Elmiger; Roger Wattenhofer (CoRR, 2025)