Drug-Drug Adverse Effect Prediction with Graph Co-Attention. - Andreea Deac; Yu-Hsiang Huang; Petar Velickovic; Pietro Liò; Jian Tang 005 (CoRR, 2019)

Attentive Cross-Modal Paratope Prediction. - Andreea Deac; Petar Velickovic; Pietro Sormanni (J. Comput. Biol., 2019)

Graph neural induction of value iteration. - Andreea Deac; Pierre-Luc Bacon; Jian Tang 005 (CoRR, 2020)

XLVIN: eXecuted Latent Value Iteration Nets. - Andreea Deac; Petar Velickovic; Ognjen Milinkovic; Pierre-Luc Bacon; Jian Tang 005; Mladen Nikolic (CoRR, 2020)

Neural Algorithmic Reasoners are Implicit Planners. - Andreea Deac; Petar Velickovic; Ognjen Milinkovic; Pierre-Luc Bacon; Jian Tang 005; Mladen Nikolic (NeurIPS, 2021)

How to transfer algorithmic reasoning knowledge to learn new algorithms? - Louis-Pascal A. C. Xhonneux; Andreea Deac; Petar Velickovic; Jian Tang 005 (NeurIPS, 2021)

Neural message passing for joint paratope-epitope prediction. - Alice Del Vecchio; Andreea Deac; Pietro Liò; Petar Velickovic (CoRR, 2021)

Large-scale graph representation learning with very deep GNNs and self-supervision. - 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 (CoRR, 2021)

Expander Graph Propagation. - Andreea Deac; Marc Lackenby; Petar Velickovic (LoG, 2022)

Continuous Neural Algorithmic Planners. - Yu He; Petar Velickovic; Pietro Liò; Andreea Deac (LoG, 2022)

A Generalist Neural Algorithmic Learner. - 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; et al. (LoG, 2022)

The First Learning on Graphs Conference: Preface. - Bastian Rieck; Razvan Pascanu; Yuanqi Du; Hannes Stärk; Derek Lim; Chaitanya K. Joshi; Andreea Deac; Iulia Duta; Joshua Robinson 001; Gabriele Corso; Leonardo Cotta; Yanqiao Zhu 001; et al. (LoG, 2022)

The Second Learning on Graphs Conference: Preface. - Soledad Villar; Benjamin Paul Chamberlain; Yuanqi Du; Hannes Stärk; Chaitanya K. Joshi; Andreea Deac; Iulia Duta; Joshua Robinson 001; Yanqiao Zhu 001; Kexin Huang; Michelle M. Li; Sofia Bourhim; et al. (LoG, 2023)

Evolving Computation Graphs. - Andreea Deac; Jian Tang 005 (CoRR, 2023)

Geometric Epitope and Paratope Prediction. - Marco Pegoraro 002; Clémentine C. J. Dominé; Emanuele Rodolà; Petar Velickovic; Andreea Deac (CoRR, 2023)

Scientific discovery in the age of artificial intelligence. - Hanchen Wang 002; Tianfan Fu; Yuanqi Du; Wenhao Gao 001; Kexin Huang; Ziming Liu; Payal Chandak; Shengchao Liu; Peter Van Katwyk; Andreea Deac; Anima Anandkumar; Karianne Bergen; et al. (Nat., 2023)

Equivariant MuZero. - Andreea Deac; Theophane Weber; George Papamakarios (Trans. Mach. Learn. Res., 2023)

How does over-squashing affect the power of GNNs? - Francesco Di Giovanni; T. Konstantin Rusch; Michael M. Bronstein; Andreea Deac; Marc Lackenby; Siddhartha Mishra; Petar Velickovic (Trans. Mach. Learn. Res., 2024)