Beatrice Bevilacqua

29 papers A* 11Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Boosting Relational Deep Learning with Pretrained Tabular Models. CoRR Veronica Lachi, Antonio Longa, Beatrice Bevilacqua, Bruno Lepri, Andrea Passerini, Bruno Ribeiro
2025	A*	`conf`	Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings. ICLR Beatrice Bevilacqua, Joshua Robinson, Jure Leskovec, Bruno Ribeiro
2025	J	`jnl`	On the Effectiveness of Random Weights in Graph Neural Networks. CoRR Thu Bui, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof
2025	J	`jnl`	TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs. CoRR Yucheng Zhang, Beatrice Bevilacqua, Mikhail Galkin, Bruno Ribeiro
2025	A*	`conf`	Zero-Shot Generalization of GNNs over Distinct Attribute Domains. ICML Yangyi Shen, Jincheng Zhou, Beatrice Bevilacqua, Joshua Robinson, Charilaos I. Kanatsoulis, Jure Leskovec, Bruno Ribeiro
2024	A*	`conf`	DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. NeurIPS Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof
2024	J	`jnl`	DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. CoRR Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof
2024	A*	`conf`	Efficient Subgraph GNNs by Learning Effective Selection Policies. ICLR Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron
2024	A*	`conf`	GRANOLA: Adaptive Normalization for Graph Neural Networks. NeurIPS Moshe Eliasof, Beatrice Bevilacqua, Carola-Bibiane Schönlieb, Haggai Maron
2024	J	`jnl`	GRANOLA: Adaptive Normalization for Graph Neural Networks. CoRR Moshe Eliasof, Beatrice Bevilacqua, Carola-Bibiane Schönlieb, Haggai Maron
2024	A*	`conf`	Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products. ICML Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron
2024	J	`jnl`	Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products. CoRR Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron
2024	—	`conf`	TRIX: A More Expressive Model for Zero-Shot Domain Transfer in Knowledge Graphs. LoG Yucheng Zhang, Beatrice Bevilacqua, Mikhail Galkin, Bruno Ribeiro
2023	J	`jnl`	An OOD Multi-Task Perspective for Link Prediction with New Relation Types and Nodes. CoRR Jincheng Zhou, Beatrice Bevilacqua, Bruno Ribeiro
2023	J	`jnl`	Causal Lifting and Link Prediction. CoRR Leonardo Cotta, Beatrice Bevilacqua, Nesreen Ahmed, Bruno Ribeiro
2023	J	`jnl`	Efficient Subgraph GNNs by Learning Effective Selection Policies. CoRR Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron
2023	A*	`conf`	Graph Positional Encoding via Random Feature Propagation. ICML Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron
2023	J	`jnl`	Graph Positional Encoding via Random Feature Propagation. CoRR Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron
2023	A*	`conf`	Neural Algorithmic Reasoning with Causal Regularisation. ICML Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
2023	J	`jnl`	Neural Algorithmic Reasoning with Causal Regularisation. CoRR Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
2022	—	`conf`	A Generalist Neural Algorithmic Learner. LoG 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
2022	J	`jnl`	A Generalist Neural Algorithmic Learner. CoRR 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
2022	A*	`conf`	Equivariant Subgraph Aggregation Networks. ICLR Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim, Balasubramaniam Srinivasan, Chen Cai, Gopinath Balamurugan, Michael M. Bronstein, Haggai Maron
2022	A*	`conf`	Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries. NeurIPS Fabrizio Frasca, Beatrice Bevilacqua, Michael M. Bronstein, Haggai Maron
2022	J	`jnl`	Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries. CoRR Fabrizio Frasca, Beatrice Bevilacqua, Michael M. Bronstein, Haggai Maron
2021	J	`jnl`	Equivariant Subgraph Aggregation Networks. CoRR Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim, Balasubramaniam Srinivasan, Chen Cai, Gopinath Balamurugan, Michael M. Bronstein, Haggai Maron
2021	A*	`conf`	Size-Invariant Graph Representations for Graph Classification Extrapolations. ICML Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro
2021	J	`jnl`	Size-Invariant Graph Representations for Graph Classification Extrapolations. CoRR Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro
2020	J	`jnl`	Simulation-Based Evolutionary Optimization of Air Traffic Management. IEEE Access Alessandro Pellegrini, Pierangelo di Sanzo, Beatrice Bevilacqua, Gabriella Duca, Domenico Pascarella, Roberto Palumbo, Juan José Ramos, Miquel Angel Piera, Gabriella Gigante