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PhD Student, Mila / Université de Montréal
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PhD Student, Mila / Université de Montréal
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2026-02-24 11:44:04
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Andreea Deac | PhD Student, Mila / Université de Montréal Andreea Deac PhD Student, Mila / Université de Montréal About Me PhD student in Machine Learning at Mila , with Prof Jian Tang . I am broadly interested in how learning can be improved through the use of graph representations, having previously worked on neural algorithmic reasoners for implicit planning and applications to biotechnology, focusing on drug discovery. Publications Neural Algorithmic Reasoners are Implicit Planners Deac, A., Veličković, P., Milinković, O., Bacon, PL., Tang, J. and Nikolić, M. NeurIPS 2021 Spotlight talk How to transfer algorithmic reasoning knowledge to learn new algorithms? Xhonneux, L.-P. A. C., Deac, A., Veličković, P., Tang, J. NeurIPS 2021 Large-scale graph regression with very deep GNNs Addanki, R., Battaglia, P. w., Budden, D., Deac, A., Godwin, J., Li, W. L. S., Sachez-Gonzalez, A., Stott, J., Shantanu, T. and Veličković, P. KDD Cup 2021 Large-scale node clas...
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