Andreea Deac

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Scientific Discovery

Graph Representation

Partially Observable Markov

Top Venues

Trans. Mach. Learn. Res.

Publications

Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic
How does over-squashing affect the power of GNNs? Trans. Mach. Learn. Res. 2024 (2024)
Andreea Deac, Theophane Weber, George Papamakarios
Equivariant MuZero. Trans. Mach. Learn. Res. 2023 (2023)
Andreea Deac, Jian Tang
Evolving Computation Graphs. CoRR (2023)
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
Scientific discovery in the age of artificial intelligence. Nat. 620 (7972) (2023)
Soledad Villar, Benjamin Paul Chamberlain, Yuanqi Du, Hannes Stärk, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Yanqiao Zhu, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov, Alexandre Duval, Mathieu Alain, Dominique Beaini, Xinyu Yuan
The Second Learning on Graphs Conference: Preface. LoG (2023)
Andreea Deac, Théophane Weber, George Papamakarios
Equivariant MuZero. CoRR (2023)
Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic
How does over-squashing affect the power of GNNs? CoRR (2023)
Marco Pegoraro, Clémentine Dominé, Emanuele Rodolà, Petar Velickovic, Andreea Deac
Geometric Epitope and Paratope Prediction. CoRR (2023)
Andreea Deac, Marc Lackenby, Petar Velickovic
Expander Graph Propagation. LoG (2022)
Andreea Deac, Marc Lackenby, Petar Velickovic
Expander Graph Propagation. CoRR (2022)
Yu He, Petar Velickovic, Pietro Liò, Andreea Deac
Continuous Neural Algorithmic Planners. CoRR (2022)
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)
Bastian Rieck, Razvan Pascanu, Yuanqi Du, Hannes Stärk, Derek Lim, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Gabriele Corso, Leonardo Cotta, Yanqiao Zhu, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov
The First Learning on Graphs Conference: Preface. LoG (2022)
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 (2022)
Yu He, Petar Velickovic, Pietro Liò, Andreea Deac
Continuous Neural Algorithmic Planners. LoG (2022)
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 Velickovic
Large-scale graph representation learning with very deep GNNs and self-supervision. CoRR (2021)
Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
Neural Algorithmic Reasoners are Implicit Planners. CoRR (2021)
Louis-Pascal A. C. Xhonneux, Andreea Deac, Petar Velickovic, Jian Tang
How to transfer algorithmic reasoning knowledge to learn new algorithms? NeurIPS (2021)
Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
Neural Algorithmic Reasoners are Implicit Planners. NeurIPS (2021)
Louis-Pascal A. C. Xhonneux, Andreea Deac, Petar Velickovic, Jian Tang
How to transfer algorithmic reasoning knowledge to learn new algorithms? CoRR (2021)
Alice Del Vecchio, Andreea Deac, Pietro Liò, Petar Velickovic
Neural message passing for joint paratope-epitope prediction. CoRR (2021)
Andreea Deac, Pierre-Luc Bacon, Jian Tang
Graph neural induction of value iteration. CoRR (2020)
Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
XLVIN: eXecuted Latent Value Iteration Nets. CoRR (2020)
Andreea Deac, Yu-Hsiang Huang, Petar Velickovic, Pietro Liò, Jian Tang
Drug-Drug Adverse Effect Prediction with Graph Co-Attention. CoRR (2019)
Andreea Deac, Petar Velickovic, Pietro Sormanni
Attentive Cross-Modal Paratope Prediction. J. Comput. Biol. 26 (6) (2019)
Andreea Deac, Petar Velickovic, Pietro Sormanni
Attentive cross-modal paratope prediction. CoRR (2018)