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Andreea Deac

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Evolving Computation Graphs

Jun 22, 2023
Andreea Deac, Jian Tang

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How does over-squashing affect the power of GNNs?

Jun 06, 2023
Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Veličković

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Equivariant MuZero

Feb 09, 2023
Andreea Deac, Théophane Weber, George Papamakarios

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Continuous Neural Algorithmic Planners

Nov 29, 2022
Yu He, Petar Veličković, Pietro Liò, Andreea Deac

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Expander Graph Propagation

Oct 06, 2022
Andreea Deac, Marc Lackenby, Petar Veličković

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A Generalist Neural Algorithmic Learner

Sep 22, 2022
Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Dudzik, Matko Bošnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Veličković

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How to transfer algorithmic reasoning knowledge to learn new algorithms?

Oct 26, 2021
Louis-Pascal A. C. Xhonneux, Andreea Deac, Petar Velickovic, Jian Tang

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Neural Algorithmic Reasoners are Implicit Planners

Oct 11, 2021
Andreea Deac, Petar Veličković, Ognjen Milinković, Pierre-Luc Bacon, Jian Tang, Mladen Nikolić

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Large-scale graph representation learning with very deep GNNs and self-supervision

Jul 20, 2021
Ravichandra Addanki, Peter W. Battaglia, David Budden, Andreea Deac, Jonathan Godwin, Thomas Keck, Wai Lok Sibon Li, Alvaro Sanchez-Gonzalez, Jacklynn Stott, Shantanu Thakoor, Petar Veličković

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Neural message passing for joint paratope-epitope prediction

May 31, 2021
Alice Del Vecchio, Andreea Deac, Pietro Liò, Petar Veličković

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