Deac, Andreea

11 publications

TMLR 2024 How Does Over-Squashing Affect the Power of GNNs? Francesco Di Giovanni, T. Konstantin Rusch, Michael Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Veličković

TMLR 2023 Equivariant MuZero Andreea Deac, Theophane Weber, George Papamakarios

ICMLW 2023 Evolving Computation Graphs Andreea Deac, Jian Tang

NeurIPSW 2023 Geometric Epitope and Paratope Prediction Marco Pegoraro, Clémentine Dominé, Emanuele Rodolà, Petar Veličković, Andreea Deac

NeurIPSW 2023 How Does Over-Squashing Affect the Power of GNNs? Francesco Di Giovanni, T. Konstantin Rusch, Michael Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Veličković

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

LoG 2022 Continuous Neural Algorithmic Planners Yu He, Petar Veličković, Pietro Lio, Andreea Deac

LoG 2022 Expander Graph Propagation Andreea Deac, Marc Lackenby, Petar Veličković

NeurIPSW 2022 Expander Graph Propagation Andreea Deac, Marc Lackenby, Petar Veličković

NeurIPSW 2022 Expander Graph Propagation Andreea Deac, Marc Lackenby, Petar Veličković

NeurIPSW 2020 XLVIN: eXecuted Latent Value Iteration Nets Andreea Deac, Petar Veličković, Ognjen Milinković, Pierre-Luc Bacon, Jian Tang, Mladen Nikolić