Andreea Deac - RankMe

27 papers A* 2Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Geometric epitope and paratope prediction. Bioinform. Marco Pegoraro, Clémentine C. J. Dominé, Emanuele Rodolà, Petar Velickovic, Andreea Deac
2024	J	`jnl`	How does over-squashing affect the power of GNNs? Trans. Mach. Learn. Res. Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic
2023	J	`jnl`	Equivariant MuZero. CoRR Andreea Deac, Théophane Weber, George Papamakarios
2023	J	`jnl`	Equivariant MuZero. Trans. Mach. Learn. Res. Andreea Deac, Theophane Weber, George Papamakarios
2023	J	`jnl`	Evolving Computation Graphs. CoRR Andreea Deac, Jian Tang
2023	J	`jnl`	Geometric Epitope and Paratope Prediction. CoRR Marco Pegoraro, Clémentine C. J. Dominé, Emanuele Rodolà, Petar Velickovic, Andreea Deac
2023	J	`jnl`	How does over-squashing affect the power of GNNs? CoRR Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic
2023	J	`jnl`	Scientific discovery in the age of artificial intelligence. Nat. 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 K. 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
2023	—	`conf`	The Second Learning on Graphs Conference: Preface. LoG 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
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	—	`conf`	Continuous Neural Algorithmic Planners. LoG Yu He, Petar Velickovic, Pietro Liò, Andreea Deac
2022	J	`jnl`	Continuous Neural Algorithmic Planners. CoRR Yu He, Petar Velickovic, Pietro Liò, Andreea Deac
2022	—	`conf`	Expander Graph Propagation. LoG Andreea Deac, Marc Lackenby, Petar Velickovic
2022	J	`jnl`	Expander Graph Propagation. CoRR Andreea Deac, Marc Lackenby, Petar Velickovic
2022	—	`conf`	The First Learning on Graphs Conference: Preface. LoG 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
2021	A*	`conf`	How to transfer algorithmic reasoning knowledge to learn new algorithms? NeurIPS Louis-Pascal A. C. Xhonneux, Andreea Deac, Petar Velickovic, Jian Tang
2021	J	`jnl`	How to transfer algorithmic reasoning knowledge to learn new algorithms? CoRR Louis-Pascal A. C. Xhonneux, Andreea Deac, Petar Velickovic, Jian Tang
2021	J	`jnl`	Large-scale graph representation learning with very deep GNNs and self-supervision. CoRR 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
2021	A*	`conf`	Neural Algorithmic Reasoners are Implicit Planners. NeurIPS Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
2021	J	`jnl`	Neural Algorithmic Reasoners are Implicit Planners. CoRR Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
2021	J	`jnl`	Neural message passing for joint paratope-epitope prediction. CoRR Alice Del Vecchio, Andreea Deac, Pietro Liò, Petar Velickovic
2020	J	`jnl`	Graph neural induction of value iteration. CoRR Andreea Deac, Pierre-Luc Bacon, Jian Tang
2020	J	`jnl`	XLVIN: eXecuted Latent Value Iteration Nets. CoRR Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
2019	J	`jnl`	Attentive Cross-Modal Paratope Prediction. J. Comput. Biol. Andreea Deac, Petar Velickovic, Pietro Sormanni
2019	J	`jnl`	Drug-Drug Adverse Effect Prediction with Graph Co-Attention. CoRR Andreea Deac, Yu-Hsiang Huang, Petar Velickovic, Pietro Liò, Jian Tang
2018	J	`jnl`	Attentive cross-modal paratope prediction. CoRR Andreea Deac, Petar Velickovic, Pietro Sormanni