Cooperative graph neural networks B Finkelshtein, X Huang, M Bronstein, İİ Ceylan International Conference on Machine Learning 2024, 2023 | 22 | 2023 |
Single-node attacks for fooling graph neural networks B Finkelshtein, C Baskin, E Zheltonozhskii, U Alon Neurocomputing 513, 1-12, 2022 | 21 | 2022 |
A simple and universal rotation equivariant point-cloud network B Finkelshtein, C Baskin, H Maron, N Dym International Conference on Machine Learning 2022 TAG in ML Workshop, 2022 | 16 | 2022 |
Strategic classification with graph neural networks I Eilat, B Finkelshtein, C Baskin, N Rosenfeld International Conference on Learning Representations 2023, 2022 | 15 | 2022 |
Learning on Large Graphs using Intersecting Communities B Finkelshtein, İİ Ceylan, M Bronstein, R Levie Advances in Neural Information Processing Systems 2024, 2024 | 3 | 2024 |
Almost surely asymptotically constant graph neural networks S Adam-Day, M Benedikt, II Ceylan, B Finkelshtein Advances in Neural Information Processing Systems 2024, 2024 | 1* | 2024 |
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks M Bechler-Speicher, B Finkelshtein, F Frasca, L Müller, J Tönshoff, ... arXiv preprint arXiv:2502.14546, 2025 | | 2025 |
Covered Forest: Fine-grained generalization analysis of graph neural networks A Vasileiou, B Finkelshtein, F Geerts, R Levie, C Morris arXiv preprint arXiv:2412.07106, 2024 | | 2024 |