Jan Tönshoff

23 papers A* 5A 1Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs.
CoRR
Florian Grötschla, Luis Müller, Jan Tönshoff, Mikhail Galkin, Bryan Perozzi
2025 J jnl
GraphBench: Next-generation graph learning benchmarking.
CoRR
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
2025 J jnl
Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs.
CoRR
Jan Tönshoff, Martin Grohe
2025 — conf
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks.
ICML (Position Papers)
Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Müller, Jan Tönshoff, Antoine Siraudin, Viktor Zaverkin, Michael M. Bronstein, Mathias Niepert, Bryan Perozzi, Mikhail Galkin, Christopher Morris
2025 J jnl
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks.
CoRR
Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Müller, Jan Tönshoff, Antoine Siraudin, Viktor Zaverkin, Michael M. Bronstein, Mathias Niepert, Bryan Perozzi, Mikhail Galkin, Christopher Morris
2024 J jnl
Distinguished In Uniform: Self Attention Vs. Virtual Nodes.
CoRR
Eran Rosenbluth, Jan Tönshoff, Martin Ritzert, Berke Kisin, Martin Grohe
2024 A* conf
Distinguished In Uniform: Self-Attention Vs. Virtual Nodes.
ICLR
Eran Rosenbluth, Jan Tönshoff, Martin Ritzert, Berke Kisin, Martin Grohe
2024 J jnl
Selecting Walk Schemes for Database Embedding.
CoRR
Yuval Lev Lubarsky, Jan Tönshoff, Martin Grohe, Benny Kimelfeld
2024 J jnl
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark.
Trans. Mach. Learn. Res.
Jan Tönshoff, Martin Ritzert, Eran Rosenbluth, Martin Grohe
2023 A* conf
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction.
IJCAI
Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe
2023 A conf
Selecting Walk Schemes for Database Embedding.
CIKM
Yuval Lev Lubarsky, Jan Tönshoff, Martin Grohe, Benny Kimelfeld
2023 A* conf
Some Might Say All You Need Is Sum.
IJCAI
Eran Rosenbluth, Jan Tönshoff, Martin Grohe
2023 J jnl
Some Might Say All You Need Is Sum.
CoRR
Eran Rosenbluth, Jan Tönshoff, Martin Grohe
2023 A* conf
Stable Tuple Embeddings for Dynamic Databases.
ICDE
Jan Tönshoff, Neta Friedman, Martin Grohe, Benny Kimelfeld
2023 A* conf
WL meet VC.
ICML
Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe
2023 J jnl
WL meet VC.
CoRR
Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe
2023 J jnl
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing.
Trans. Mach. Learn. Res.
Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe
2023 J jnl
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark.
CoRR
Jan Tönshoff, Martin Ritzert, Eran Rosenbluth, Martin Grohe
2022 J jnl
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction.
CoRR
Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe
2021 J jnl
Dynamic Database Embeddings with FoRWaRD.
CoRR
Jan Tönshoff, Neta Friedman, Martin Grohe, Benny Kimelfeld
2021 J jnl
Graph Learning with 1D Convolutions on Random Walks.
CoRR
Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe
2020 J jnl
Graph Neural Networks for Maximum Constraint Satisfaction.
Frontiers Artif. Intell.
Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe
2019 J jnl
RUN-CSP: Unsupervised Learning of Message Passing Networks for Binary Constraint Satisfaction Problems.
CoRR
Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe