Joël Mathys

Publications

Learning Graph Algorithms With Recurrent Graph Neural Networks
Florian Grötschla, Joël Mathys and Roger Wattenhofer.
Workshop on Graphs and more Complex structures for Learning and Reasoning (GCLR@AAAI), Washington D.C., USA, February 2023.
External BibTeX
Hierarchical Graph Structures for Congestion and ETA Prediction
Florian Grötschla and Joël Mathys.
Traffic4cast@NeurIPS22, December 2022.
External Slides (PDF) Slides (PPT) BibTeX
Decentralized Graph Processing for Reachability Queries
Joël Mathys, Robin Fritsch and Roger Wattenhofer.
18th International Conference on Advanced Data Mining and Applications (ADMA), Brisbane, Australia, November 2022.
External Slides (PDF) Slides (PPT) BibTeX

	Title	Type	Contact/Supervisor	Assigned
Available Theses & Labs
	ARC - Reasoning with Language and Vision	M	Joël Mathys, Benjamin Estermann	available
Current Theses & Labs
	Title	Type	Contact/Supervisor	Assigned	Student(s)
	Algorithmic Problems for GNNs	B	Joël Mathys, Florian Grötschla	FS 23
	Asynchronous GNNs	G	Joël Mathys, Florian Grötschla	FS 23
	CLRS - Understanding GNNs through Algorithms	M	Joël Mathys, Florian Grötschla	FS 23
	Recurrent Graph Transformers for Algorithmic Problems	S	Florian Grötschla, Joël Mathys	FS 23
	Reinforcement Learning to Optimize (RL2O)	G	Xiaofeng Flint Fan, Joël Mathys	FS 23	,
	Simulation of Physical Systems with GNNs	B	Florian Grötschla, Joël Mathys	FS 23
	ARC	G	Joël Mathys, Benjamin Estermann	HS 22
Past Theses & Labs
	Title	Type	Contact/Supervisor	Assigned	Student(s)
	Abstraction and Reasoning Challenge - Reasoning with Language [confidential]	G	Joël Mathys, Benjamin Estermann	HS 22	,
	Efficient Graph Drawing with GNNs using Overlay Graphs [confidential]	B	Florian Grötschla, Joël Mathys	HS 22
	Exploring Graph Neural Networks and Hierarchical Structures for Traffic Forecasting	B	Joël Mathys, Florian Grötschla	HS 22
	Real Time Public Transport App	S	Joël Mathys	FS 22