| On the unreasonable effectiveness of feature propagation in learning on graphs with missing node features E Rossi, H Kenlay, MI Gorinova, BP Chamberlain, X Dong, MM Bronstein Learning on graphs conference, 11: 1-11: 16, 2022 | 85 | 2022 |
| Integration of multiple epigenomic marks improves prediction of variant impact in saturation mutagenesis reporter assay D Shigaki, O Adato, AN Adhikari, S Dong, A Hawkins‐Hooker, F Inoue, ... Human mutation 40 (9), 1280-1291, 2019 | 47 | 2019 |
| Interpretable stability bounds for spectral graph filters H Kenlay, D Thanou, X Dong International conference on machine learning, 5388-5397, 2021 | 40 | 2021 |
| On the stability of graph convolutional neural networks under edge rewiring H Kenlay, D Thanou, X Dong ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 32 | 2021 |
| Adversarial attacks on graph classifiers via bayesian optimisation X Wan, H Kenlay, R Ru, A Blaas, MA Osborne, X Dong Advances in Neural Information Processing Systems 34, 6983-6996, 2021 | 26 | 2021 |
| On the stability of polynomial spectral graph filters H Kenlay, D Thanou, X Dong ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 21 | 2020 |
| Graph similarity learning for change-point detection in dynamic networks D Sulem, H Kenlay, M Cucuringu, X Dong arXiv preprint arXiv:2203.15470, 2022 | 13 | 2022 |
| Inverse folding for antibody sequence design using deep learning FA Dreyer, D Cutting, C Schneider, H Kenlay, CM Deane arXiv preprint arXiv:2310.19513, 2023 | 12 | 2023 |
| Large scale paired antibody language models H Kenlay, FA Dreyer, A Kovaltsuk, D Miketa, D Pires, CM Deane arXiv preprint arXiv:2403.17889, 2024 | 4 | 2024 |
| CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods S Jain, C Bakolitsa, SE Brenner, P Radivojac, J Moult, S Repo, ... Genome Biology 25 (1), 2024 | 3 | 2024 |
| Projection layers improve deep learning models of regulatory DNA function A Hawkins-Hooker, H Kenlay, J Reid BioRxiv, 412734, 2018 | 3 | 2018 |
| ABodyBuilder3: Improved and scalable antibody structure predictions H Kenlay, FA Dreyer, D Cutting, D Nissley, CM Deane Bioinformatics, btae576, 2024 | 2 | 2024 |
| Bayesian optimisation of functions on graphs X Wan, P Osselin, H Kenlay, B Ru, MA Osborne, X Dong Advances in Neural Information Processing Systems 36, 43012-43040, 2023 | 1 | 2023 |
| Structure-aware robustness certificates for graph classification P Osselin, H Kenlay, X Dong 18th International Workshop on Mining and Learning with Graphs, 2022 | 1 | 2022 |
| Computational design of developable therapeutic antibodies: efficient traversal of binder landscapes and rescue of escape mutations FA Dreyer, C Schneider, A Kovaltsuk, D Cutting, MJ Byrne, DA Nissley, ... bioRxiv, 2024 | | 2024 |
| Robustness analysis of graph-based machine learning H Kenlay University of Oxford, 2022 | | 2022 |
Xiaowen DongUniversity of OxfordVerified email at robots.ox.ac.uk
