| 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 | 36 | 2019 |
| 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 | 24 | 2022 |
| Interpretable stability bounds for spectral graph filters H Kenlay, D Thanou, X Dong International conference on machine learning, 5388-5397, 2021 | 21 | 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 | 17 | 2020 |
| 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 | 16 | 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 | 9* | 2021 |
| Projection layers improve deep learning models of regulatory DNA function A Hawkins-Hooker, H Kenlay, J Reid BioRxiv, 412734, 2018 | 3 | 2018 |
| Graph similarity learning for change-point detection in dynamic networks D Sulem, H Kenlay, M Cucuringu, X Dong arXiv preprint arXiv:2203.15470, 2022 | 1 | 2022 |
| Structure-aware robustness certificates for graph classification P Osselin, H Kenlay, X Dong 18th International Workshop on Mining and Learning with Graphs, 2022 | | 2022 |
Xiaowen DongUniversity of Oxford, Massachusetts Institute of TechnologyVerified email at robots.ox.ac.uk
