| Equivariant subgraph aggregation networks B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ... arXiv preprint arXiv:2110.02910, 2021 | 154 | 2021 |
| 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 | 95 | 2022 |
| Size-invariant graph representations for graph classification extrapolations B Bevilacqua, Y Zhou, B Ribeiro International Conference on Machine Learning, 837-851, 2021 | 94 | 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 | 45 | 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 | 17 | 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 | 13 | 2020 |
| Causal lifting and link prediction L Cotta, B Bevilacqua, N Ahmed, B Ribeiro Proceedings of the Royal Society A 479 (2276), 20230121, 2023 | 4 | 2023 |
| A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes J Zhou, B Bevilacqua, B Ribeiro NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | 2* | 2023 |
| Efficient Subgraph GNNs by Learning Effective Selection Policies B Bevilacqua, M Eliasof, E Meirom, B Ribeiro, H Maron arXiv preprint arXiv:2310.20082, 2023 | 2 | 2023 |
| 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 | 2 | 2023 |
| Subgraphormer: Subgraph GNNs meet Graph Transformers G Bar-Shalom, B Bevilacqua, H Maron NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | 1 | 2023 |
| On single-environment extrapolations in graph classification and regression tasks B Bevilacqua, Y Zhou, RL Murphy, B Ribeiro | 1 | 2020 |
| GRANOLA: Adaptive Normalization for Graph Neural Networks M Eliasof, B Bevilacqua, CB Schönlieb, H Maron arXiv preprint arXiv:2404.13344, 2024 | | 2024 |
| Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products G Bar-Shalom, B Bevilacqua, H Maron arXiv preprint arXiv:2402.08450, 2024 | | 2024 |
Haggai MaronAssistant Professor at the Technion, Research Scientist at NVIDIA ResearchVerified email at technion.ac.il
