Ben Finkelshtein

21 papers A* 5Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference. CoRR Ben Finkelshtein, Silviu Cucerzan, Sujay Kumar Jauhar, Ryen White
2025	A*	`conf`	Covered Forest: Fine-grained generalization analysis of graph neural networks. ICML Antonis Vasileiou, Ben Finkelshtein, Floris Geerts, Ron Levie, Christopher Morris
2025	J	`jnl`	Efficient Learning on Large Graphs using a Densifying Regularity Lemma. CoRR Jonathan Kouchly, Ben Finkelshtein, Michael M. Bronstein, Ron Levie
2025	J	`jnl`	Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models. CoRR Ben Finkelshtein, Ismail Ilkan Ceylan, Michael M. Bronstein, Ron Levie
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`	Of Graphs and Tables: Zero-Shot Node Classification with Tabular Foundation Models. CoRR Adrian Hayler, Xingyue Huang, Ismail Ilkan Ceylan, Michael M. Bronstein, Ben Finkelshtein
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	A*	`conf`	Almost Surely Asymptotically Constant Graph Neural Networks. NeurIPS Sam Adam-Day, Michael Benedikt, Ismail Ilkan Ceylan, Ben Finkelshtein
2024	A*	`conf`	Cooperative Graph Neural Networks. ICML Ben Finkelshtein, Xingyue Huang, Michael M. Bronstein, Ismail Ilkan Ceylan
2024	J	`jnl`	Covered Forest: Fine-grained generalization analysis of graph neural networks. CoRR Antonis Vasileiou, Ben Finkelshtein, Floris Geerts, Ron Levie, Christopher Morris
2024	J	`jnl`	Graph neural network outputs are almost surely asymptotically constant. CoRR Sam Adam-Day, Michael Benedikt, Ismail Ilkan Ceylan, Ben Finkelshtein
2024	A*	`conf`	Learning on Large Graphs using Intersecting Communities. NeurIPS Ben Finkelshtein, Ismail Ilkan Ceylan, Michael M. Bronstein, Ron Levie
2024	J	`jnl`	Learning on Large Graphs using Intersecting Communities. CoRR Ben Finkelshtein, Ismail Ilkan Ceylan, Michael M. Bronstein, Ron Levie
2023	J	`jnl`	Cooperative Graph Neural Networks. CoRR Ben Finkelshtein, Xingyue Huang, Michael M. Bronstein, Ismail Ilkan Ceylan
2023	A*	`conf`	Strategic Classification with Graph Neural Networks. ICLR Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld
2022	—	`conf`	A Simple and Universal Rotation Equivariant Point-Cloud Network. TAG-ML Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym
2022	J	`jnl`	A Simple and Universal Rotation Equivariant Point-cloud Network. CoRR Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym
2022	J	`jnl`	Single-node attacks for fooling graph neural networks. Neurocomputing Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon
2022	J	`jnl`	Strategic Classification with Graph Neural Networks. CoRR Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld
2020	J	`jnl`	Single-Node Attack for Fooling Graph Neural Networks. CoRR Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon