Timo Stoll

According to our database, Timo Stoll authored at least 4 papers between 2025 and 2026.

Collaborative distances:

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

2026

Which Algorithms Can Graph Neural Networks Learn?

Solveig Wittig, Antonis Vasileiou, Robert R. Nerem, Timo Stoll, Floris Geerts, Yusu Wang, Christopher Morris

CoRR, February, 2026

2025

GraphBench: Next-generation graph learning benchmarking.

Timo Stoll, Chendi Qian, Ben Finkelshtein, Ali Parviz, Darius Weber, Fabrizio Frasca, Hadar Shavit, Antoine Siraudin, Arman Mielke, Marie Anastacio, Erik Müller, Maya Bechler-Speicher, Michael M. Bronstein, Mikhail Galkin, Holger H. Hoos, Mathias Niepert, Bryan Perozzi, Jan Tönshoff, Christopher Morris

CoRR, December, 2025

Understanding Generalization in Node and Link Prediction.

Antonis Vasileiou, Timo Stoll, Christopher Morris

CoRR, July, 2025

Generalizable Insights for Graph Transformers in Theory and Practice.

Timo Stoll, Luis Müller, Christopher Morris

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025