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Andreea Deac
Andreea Deac
Mila, Université de Montréal
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
Attentive cross-modal paratope prediction
A Deac, P Veličković, P Sormanni
Journal of Computational Biology 26 (6), 536-545, 2019
402019
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
A Deac, YH Huang, P Veličković, P Liò, J Tang
arXiv preprint arXiv:1905.00534, 2019
362019
XLVIN: eXecuted Latent Value Iteration Nets
A Deac, P Veličković, O Milinković, PL Bacon, J Tang, M Nikolić
arXiv preprint arXiv:2010.13146, 2020
152020
Large-scale graph representation learning with very deep GNNs and self-supervision
R Addanki, PW Battaglia, D Budden, A Deac, J Godwin, T Keck, WLS Li, ...
arXiv preprint arXiv:2107.09422, 2021
142021
Neural message passing for joint paratope-epitope prediction
A Del Vecchio, A Deac, P Liò, P Veličković
ICML Workshop on Computational Biology 2021, 2021
112021
How to transfer algorithmic reasoning knowledge to learn new algorithms?
LP Xhonneux, AI Deac, P Veličković, J Tang
Advances in Neural Information Processing Systems 34, 19500-19512, 2021
102021
Neural Algorithmic Reasoners are Implicit Planners
A Deac, P Veličković, O Milinković, PL Bacon, J Tang, M Nikolic
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
72021
Graph neural induction of value iteration
A Deac, PL Bacon, J Tang
ICML GRL+ 2020, 2020
62020
A generalist neural algorithmic learner
B Ibarz, V Kurin, G Papamakarios, K Nikiforou, M Bennani, R Csordás, ...
Learning on Graphs Conference, 2: 1-2: 23, 2022
32022
Structured Multi-View Representations for Drug Combinations
S Liu, A Deac, Z Zhu, J Tang
Machine Learning for Molecules Workshop, NeurIPS 2020, 2020
22020
Expander Graph Propagation
A Deac, M Lackenby, P Veličković
arXiv preprint arXiv:2210.02997, 2022
12022
The First Learning on Graphs Conference: Preface
B Rieck, R Pascanu, Y Du, H St, D Lim, CK Joshi, A Deac, I Duta, ...
Learning on Graphs Conference, i-xxiii, 2022
2022
Continuous Neural Algorithmic Planners
Y He, P Veličković, P Liò, A Deac
arXiv preprint arXiv:2211.15839, 2022
2022
LARGE-SCALE NODE CLASSIFICATION WITH BOOTSTRAPPING
R Addanki, PW Battaglia, D Budden, A Deac, M DeepMind, J Godwin, ...
LARGE-SCALE GRAPH REGRESSION WITH VERY DEEP GNNS
R Addanki, PW Battaglia, D Budden, A Deac, M DeepMind, J Godwin, ...
Empowering Graph Representation Learning with Paired Training and Graph Co-Attention
A Deac, YH Huang, P Velickovic, P Lio, J Tang
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