| Equivariant subgraph aggregation networks B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ... International Conference on Learning Representations, 2022 | 213 | 2022 |
| Understanding and extending subgraph gnns by rethinking their symmetries F Frasca, B Bevilacqua, M Bronstein, H Maron Advances in Neural Information Processing Systems 35, 31376-31390, 2022 | 146 | 2022 |
| Size-invariant graph representations for graph classification extrapolations B Bevilacqua, Y Zhou, B Ribeiro International Conference on Machine Learning, 837-851, 2021 | 123 | 2021 |
| A generalist neural algorithmic learner B Ibarz, V Kurin, G Papamakarios, K Nikiforou, M Bennani, R Csordás, ... Learning on graphs conference, 2: 1-2: 23, 2022 | 71 | 2022 |
| Neural algorithmic reasoning with causal regularisation B Bevilacqua, K Nikiforou, B Ibarz, I Bica, M Paganini, C Blundell, ... International Conference on Machine Learning, 2272-2288, 2023 | 27 | 2023 |
| Simulation-based evolutionary optimization of air traffic management A Pellegrini, P Di Sanzo, B Bevilacqua, G Duca, D Pascarella, R Palumbo, ... IEEE access 8, 161551-161570, 2020 | 19 | 2020 |
| Efficient subgraph gnns by learning effective selection policies B Bevilacqua, M Eliasof, E Meirom, B Ribeiro, H Maron International Conference on Learning Representations, 2024 | 13 | 2024 |
| Graph positional encoding via random feature propagation M Eliasof, F Frasca, B Bevilacqua, E Treister, G Chechik, H Maron International Conference on Machine Learning, 9202-9223, 2023 | 10 | 2023 |
| GRANOLA: Adaptive Normalization for Graph Neural Networks M Eliasof, B Bevilacqua, CB Schönlieb, H Maron arXiv preprint arXiv:2404.13344, 2024 | 7 | 2024 |
| An ood multi-task perspective for link prediction with new relation types and nodes J Zhou, B Bevilacqua, B Ribeiro arXiv preprint arXiv:2307.06046, 21, 2023 | 7 | 2023 |
| Causal lifting and link prediction L Cotta, B Bevilacqua, N Ahmed, B Ribeiro Proceedings of the Royal Society A 479 (2276), 20230121, 2023 | 6 | 2023 |
| Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products G Bar-Shalom, B Bevilacqua, H Maron arXiv preprint arXiv:2402.08450, 2024 | 4 | 2024 |
| Digraf: Diffeomorphic graph-adaptive activation function KSI Mantri, X Wang, CB Schönlieb, B Ribeiro, B Bevilacqua, M Eliasof arXiv preprint arXiv:2407.02013, 2024 | 3 | 2024 |
| Zero-shot generalization of gnns over distinct attribute domains Y Shen, B Bevilacqua, J Robinson, C Kanatsoulis, J Leskovec, B Ribeiro ICML 2024 Workshop on Theoretical Foundations of Foundation Models, 2024 | 2 | 2024 |
| Subgraphormer: Subgraph GNNs meet Graph Transformers G Bar-Shalom, B Bevilacqua, H Maron NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | 1 | 2023 |
| Training a neural network to perform an algorithmic task using a self-supervised loss B Bevilacqua, P Velickovic, J Mitrovic, K Nikiforou, I Bica, BI Gabardos US Patent App. 18/423,239, 2024 | | 2024 |
| TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs Y Zhang, B Bevilacqua, M Galkin, B Ribeiro The Third Learning on Graphs Conference, 2024 | | 2024 |
| Random Propagations in GNNs T Bui, A Naman, CB Schönlieb, B Ribeiro, B Bevilacqua, M Eliasof UniReps: 2nd Edition of the Workshop on Unifying Representations in Neural …, 2024 | | 2024 |
Haggai MaronAssistant Professor at the Technion, Research Scientist at NVIDIA ResearchVerified email at technion.ac.il