RUN-CSP: Unsupervised Learning of Message Passing Networks for Binary Constraint Satisfaction Problems. - Jan Tönshoff; Martin Ritzert; Hinrikus Wolf; Martin Grohe (CoRR, 2019)

Graph Neural Networks for Maximum Constraint Satisfaction. - Jan Tönshoff; Martin Ritzert; Hinrikus Wolf; Martin Grohe (Frontiers Artif. Intell., 2020)

Graph Learning with 1D Convolutions on Random Walks. - Jan Tönshoff; Martin Ritzert; Hinrikus Wolf; Martin Grohe (CoRR, 2021)

Dynamic Database Embeddings with FoRWaRD. - Jan Tönshoff; Neta Friedman; Martin Grohe; Benny Kimelfeld (CoRR, 2021)

Selecting Walk Schemes for Database Embedding. - Yuval Lev Lubarsky; Jan Tönshoff; Martin Grohe; Benny Kimelfeld (CIKM, 2023)

Stable Tuple Embeddings for Dynamic Databases. - Jan Tönshoff; Neta Friedman; Martin Grohe; Benny Kimelfeld (ICDE, 2023)

WL meet VC. - Christopher Morris 001; Floris Geerts; Jan Tönshoff; Martin Grohe (ICML, 2023)

Some Might Say All You Need Is Sum. - Eran Rosenbluth; Jan Tönshoff; Martin Grohe (IJCAI, 2023)

One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction. - Jan Tönshoff; Berke Kisin; Jakob Lindner; Martin Grohe (IJCAI, 2023)

Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing. - Jan Tönshoff; Martin Ritzert; Hinrikus Wolf; Martin Grohe (Trans. Mach. Learn. Res., 2023)

Distinguished In Uniform: Self-Attention Vs. Virtual Nodes. - Eran Rosenbluth; Jan Tönshoff; Martin Ritzert; Berke Kisin; Martin Grohe (ICLR, 2024)

Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark. - Jan Tönshoff; Martin Ritzert; Eran Rosenbluth; Martin Grohe (Trans. Mach. Learn. Res., 2024)

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks. - Maya Bechler-Speicher; Ben Finkelshtein; Fabrizio Frasca; Luis Müller; Jan Tönshoff; Antoine Siraudin; Viktor Zaverkin; Michael M. Bronstein; Mathias Niepert; Bryan Perozzi; Mikhail Galkin 001; Christopher Morris 001 (CoRR, 2025)

Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs. - Jan Tönshoff; Martin Grohe (CoRR, 2025)

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs. - Florian Grötschla; Luis Müller; Jan Tönshoff; Mikhail Galkin 001; Bryan Perozzi (CoRR, 2025)