Beatrice Bevilacqua

According to our database, Beatrice Bevilacqua authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Boosting Relational Deep Learning with Pretrained Tabular Models.

Veronica Lachi, Antonio Longa, Beatrice Bevilacqua, Bruno Lepri, Andrea Passerini, Bruno Ribeiro

CoRR, April, 2025

On the Effectiveness of Random Weights in Graph Neural Networks.

Thu Bui, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof

CoRR, February, 2025

Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings.

Beatrice Bevilacqua, Joshua Robinson, Jure Leskovec, Bruno Ribeiro

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

DiGRAF: Diffeomorphic Graph-Adaptive Activation Function.

Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

GRANOLA: Adaptive Normalization for Graph Neural Networks.

Moshe Eliasof, Beatrice Bevilacqua, Carola-Bibiane Schönlieb, Haggai Maron

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

TRIX: A More Expressive Model for Zero-Shot Domain Transfer in Knowledge Graphs.

Yucheng Zhang, Beatrice Bevilacqua, Mikhail Galkin, Bruno Ribeiro

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products.

Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Subgraph GNNs by Learning Effective Selection Policies.

Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

An OOD Multi-Task Perspective for Link Prediction with New Relation Types and Nodes.

Jincheng Zhou, Beatrice Bevilacqua, Bruno Ribeiro

CoRR, 2023

Causal Lifting and Link Prediction.

Leonardo Cotta, Beatrice Bevilacqua, Nesreen Ahmed, Bruno Ribeiro

CoRR, 2023

Graph Positional Encoding via Random Feature Propagation.

Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron

Proceedings of the International Conference on Machine Learning, 2023

Neural Algorithmic Reasoning with Causal Regularisation.

Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic

Proceedings of the International Conference on Machine Learning, 2023

2022

Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries.

Fabrizio Frasca, Beatrice Bevilacqua, Michael M. Bronstein, Haggai Maron

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Generalist Neural Algorithmic Learner.

Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic

Proceedings of the Learning on Graphs Conference, 2022

Equivariant Subgraph Aggregation Networks.

Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim, Balasubramaniam Srinivasan, Chen Cai, Gopinath Balamurugan, Michael M. Bronstein, Haggai Maron

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Size-Invariant Graph Representations for Graph Classification Extrapolations.

Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Simulation-Based Evolutionary Optimization of Air Traffic Management.

Alessandro Pellegrini, Pierangelo di Sanzo, Beatrice Bevilacqua, Gabriella Duca, Domenico Pascarella, Roberto Palumbo, Juan José Ramos, Miquel Angel Piera, Gabriella Gigante

IEEE Access, 2020