Joël Mathys

Orcid: 0000-0003-1601-5234

According to our database1, Joël Mathys authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs.
CoRR, 2024

2023
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics.
CoRR, 2023

Flood and Echo: Algorithmic Alignment of GNNs with Distributed Computing.
CoRR, 2023

SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning.
CoRR, 2023

Visual Abstraction and Reasoning through Language.
CoRR, 2023

Abstract Visual Reasoning Enabled by Language.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning Graph Algorithms With Recurrent Graph Neural Networks.
CoRR, 2022

Hierarchical Graph Structures for Congestion and ETA Prediction.
CoRR, 2022

Decentralized Graph Processing for Reachability Queries.
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.
Proceedings of the NeurIPS 2022 Competition Track, 2021


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