Henry Kenlay
Henry Kenlay
DPhil student, University of Oxford
Verified email at - Homepage
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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
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
Interpretable stability bounds for spectral graph filters
H Kenlay, D Thanou, X Dong
International conference on machine learning, 5388-5397, 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
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
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
Graph similarity learning for change-point detection in dynamic networks
D Sulem, H Kenlay, M Cucuringu, X Dong
Machine Learning, 1-44, 2023
Projection layers improve deep learning models of regulatory DNA function
A Hawkins-Hooker, H Kenlay, J Reid
BioRxiv, 412734, 2018
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
Bayesian Optimisation of Functions on Graphs
X Wan, P Osselin, H Kenlay, B Ru, MA Osborne, X Dong
arXiv preprint arXiv:2306.05304, 2023
Structure-aware robustness certificates for graph classification
P Osselin, H Kenlay, X Dong
18th International Workshop on Mining and Learning with Graphs, 2022
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