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Beatrice Bevilacqua
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2020 – today
- 2024
- [c8]Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron:
Efficient Subgraph GNNs by Learning Effective Selection Policies. ICLR 2024 - [c7]Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron:
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products. ICML 2024 - [i12]Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron:
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products. CoRR abs/2402.08450 (2024) - [i11]Moshe Eliasof, Beatrice Bevilacqua, Carola-Bibiane Schönlieb, Haggai Maron:
GRANOLA: Adaptive Normalization for Graph Neural Networks. CoRR abs/2404.13344 (2024) - [i10]Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof:
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. CoRR abs/2407.02013 (2024) - 2023
- [c6]Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic:
Neural Algorithmic Reasoning with Causal Regularisation. ICML 2023: 2272-2288 - [c5]Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron:
Graph Positional Encoding via Random Feature Propagation. ICML 2023: 9202-9223 - [i9]Leonardo Cotta, Beatrice Bevilacqua, Nesreen Ahmed, Bruno Ribeiro:
Causal Lifting and Link Prediction. CoRR abs/2302.01198 (2023) - [i8]Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic:
Neural Algorithmic Reasoning with Causal Regularisation. CoRR abs/2302.10258 (2023) - [i7]Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron:
Graph Positional Encoding via Random Feature Propagation. CoRR abs/2303.02918 (2023) - [i6]Jincheng Zhou, Beatrice Bevilacqua, Bruno Ribeiro:
An OOD Multi-Task Perspective for Link Prediction with New Relation Types and Nodes. CoRR abs/2307.06046 (2023) - [i5]Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron:
Efficient Subgraph GNNs by Learning Effective Selection Policies. CoRR abs/2310.20082 (2023) - 2022
- [c4]Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim, Balasubramaniam Srinivasan, Chen Cai, Gopinath Balamurugan, Michael M. Bronstein, Haggai Maron:
Equivariant Subgraph Aggregation Networks. ICLR 2022 - [c3]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:
A Generalist Neural Algorithmic Learner. LoG 2022: 2 - [c2]Fabrizio Frasca, Beatrice Bevilacqua, Michael M. Bronstein, Haggai Maron:
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries. NeurIPS 2022 - [i4]Fabrizio Frasca, Beatrice Bevilacqua, Michael M. Bronstein, Haggai Maron:
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries. CoRR abs/2206.11140 (2022) - [i3]Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic:
A Generalist Neural Algorithmic Learner. CoRR abs/2209.11142 (2022) - 2021
- [c1]Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro:
Size-Invariant Graph Representations for Graph Classification Extrapolations. ICML 2021: 837-851 - [i2]Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro:
Size-Invariant Graph Representations for Graph Classification Extrapolations. CoRR abs/2103.05045 (2021) - [i1]Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim, Balasubramaniam Srinivasan, Chen Cai, Gopinath Balamurugan, Michael M. Bronstein, Haggai Maron:
Equivariant Subgraph Aggregation Networks. CoRR abs/2110.02910 (2021) - 2020
- [j1]Alessandro Pellegrini, Pierangelo di Sanzo, Beatrice Bevilacqua, Gabriella Duca, Domenico Pascarella, Roberto Palumbo, Juan José Ramos, Miquel Angel Piera, Gabriella Gigante:
Simulation-Based Evolutionary Optimization of Air Traffic Management. IEEE Access 8: 161551-161570 (2020)
Coauthor Index
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