Bevilacqua, Beatrice

18 publications

ICLR 2025 Holographic Node Representations: Pre-Training Task-Agnostic Node Embeddings Beatrice Bevilacqua, Joshua Robinson, Jure Leskovec, Bruno Ribeiro
LoG 2025 TRIX: A More Expressive Model for Zero-Shot Domain Transfer in Knowledge Graphs Yucheng Zhang, Beatrice Bevilacqua, Mikhail Galkin, Bruno Ribeiro
ICML 2025 Zero-Shot Generalization of GNNs over Distinct Attribute Domains Yangyi Shen, Jincheng Zhou, Beatrice Bevilacqua, Joshua Robinson, Charilaos Kanatsoulis, Jure Leskovec, Bruno Ribeiro
NeurIPS 2024 DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof
ICLR 2024 Efficient Subgraph GNNs by Learning Effective Selection Policies Beatrice Bevilacqua, Moshe Eliasof, Eli Meirom, Bruno Ribeiro, Haggai Maron
NeurIPS 2024 GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof, Beatrice Bevilacqua, Carola-Bibiane Schönlieb, Haggai Maron
NeurIPSW 2024 Random Propagations in GNNs Thu Bui, Anugunj Naman, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof
ICML 2024 Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron
ICMLW 2024 Zero-Shot Generalization of GNNs over Distinct Attribute Domains Yangyi Shen, Beatrice Bevilacqua, Joshua Robinson, Charilaos Kanatsoulis, Jure Leskovec, Bruno Ribeiro
ICMLW 2024 Zero-Shot Generalization of GNNs over Distinct Attribute Domains Yangyi Shen, Beatrice Bevilacqua, Joshua Robinson, Charilaos Kanatsoulis, Jure Leskovec, Bruno Ribeiro
NeurIPSW 2023 A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes Jincheng Zhou, Beatrice Bevilacqua, Bruno Ribeiro
ICML 2023 Graph Positional Encoding via Random Feature Propagation Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron
ICML 2023 Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Veličković
NeurIPSW 2023 Subgraphormer: Subgraph GNNs Meet Graph Transformers Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron
LoG 2022 A Generalist Neural Algorithmic Learner Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bošnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Veličković
ICLR 2022 Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim, Balasubramaniam Srinivasan, Chen Cai, Gopinath Balamurugan, Michael M. Bronstein, Haggai Maron
NeurIPS 2022 Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca, Beatrice Bevilacqua, Michael Bronstein, Haggai Maron
ICML 2021 Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro