Finkelshtein, Ben

9 publications

ICLR 2026 Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference Ben Finkelshtein, Silviu Cucerzan, Sujay Kumar Jauhar, Ryen W White

ICLR 2026 Efficient Learning on Large Graphs Using a Densifying Regularity Lemma Jonathan Kouchly, Ben Finkelshtein, Michael M. Bronstein, Ron Levie

ICML 2025 Covered Forest: Fine-Grained Generalization Analysis of Graph Neural Networks Antonis Vasileiou, Ben Finkelshtein, Floris Geerts, Ron Levie, Christopher Morris

NeurIPS 2025 Equivariance Everywhere All at Once: A Recipe for Graph Foundation Models Ben Finkelshtein, Ismail Ilkan Ceylan, Michael M. Bronstein, Ron Levie

ICML 2025 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, Christopher Morris

NeurIPS 2024 Almost Surely Asymptotically Constant Graph Neural Networks Sam Adam-Day, Michael Benedikt, İsmail İlkan Ceylan, Ben Finkelshtein

ICML 2024 Cooperative Graph Neural Networks Ben Finkelshtein, Xingyue Huang, Michael M. Bronstein, Ismail Ilkan Ceylan

NeurIPS 2024 Learning on Large Graphs Using Intersecting Communities Ben Finkelshtein, İsmail İlkan Ceylan, Michael Bronstein, Ron Levie

ICLR 2023 Strategic Classification with Graph Neural Networks Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld