| Equivariant subgraph aggregation networks B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ... International Conference on Learning Representations, 2022 | 278 | 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 | 205 | 2022 |
| Size-invariant graph representations for graph classification extrapolations B Bevilacqua, Y Zhou, B Ribeiro International Conference on Machine Learning, 837-851, 2021 | 153 | 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 | 103 | 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 | 41 | 2023 |
| Predicting cellular responses to perturbation across diverse contexts with State AK Adduri, D Gautam, B Bevilacqua, A Imran, R Shah, M Naghipourfar, ... BioRxiv, 2025.06. 26.661135, 2025 | 40* | 2025 |
| 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 | 38 | 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 | 26 | 2020 |
| Subgraphormer: Unifying subgraph gnns and graph transformers via graph products G Bar-Shalom, B Bevilacqua, H Maron International Conference on Machine Learning, 2024 | 20* | 2024 |
| Efficient subgraph gnns by learning effective selection policies B Bevilacqua, M Eliasof, E Meirom, B Ribeiro, H Maron International Conference on Learning Representations, 2024 | 20 | 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 | 19 | 2023 |
| Granola: Adaptive normalization for graph neural networks M Eliasof, B Bevilacqua, CB Schönlieb, H Maron Advances in Neural Information Processing Systems 37, 90514-90551, 2024 | 13 | 2024 |
| Causal lifting and link prediction L Cotta, B Bevilacqua, N Ahmed, B Ribeiro Proceedings of the Royal Society A 479 (2276), 20230121, 2023 | 12 | 2023 |
| 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 | 11 | 2024 |
| Digraf: Diffeomorphic graph-adaptive activation function KSI Mantri, X Wang, CB Schönlieb, B Ribeiro, B Bevilacqua, M Eliasof Advances in Neural Information Processing Systems, 2024 | 10 | 2024 |
| Zero-shot generalization of gnns over distinct attribute domains Y Shen, J Zhou, B Bevilacqua, J Robinson, C Kanatsoulis, J Leskovec, ... International Conference on Machine Learning, 2025 | 9 | 2025 |
| Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings B Bevilacqua, J Robinson, J Leskovec, B Ribeiro The Thirteenth International Conference on Learning Representations, 2025 | 8 | 2025 |
| Boosting relational deep learning with pretrained tabular models V Lachi, A Longa, B Bevilacqua, B Lepri, A Passerini, B Ribeiro arXiv preprint arXiv:2504.04934, 2025 | 4 | 2025 |
| On the effectiveness of random weights in graph neural networks T Bui, CB Schönlieb, B Ribeiro, B Bevilacqua, M Eliasof arXiv preprint arXiv:2502.00190, 2025 | 2 | 2025 |
| All In: Bridging Input Feature Spaces Towards Graph Foundation Models M Eliasof, KSI Mantri, B Bevilacqua, B Ribeiro, CB Schönlieb UniReps: 3rd Edition of the Workshop on Unifying Representations in Neural …, 2025 | 1 | 2025 |
Bruno RibeiroAssociate Professor of Computer Science at Purdue UniversityVerified email at cs.purdue.edu
