Robustness analysis of graph-based machine learning by Kenlay, H

Structure-aware robustness certificates for graph classification by Osselin, P, Kenlay, H, Dong, X

On the stability of graph convolutional neural networks under edge rewiring by Kenlay, H, Thanou, D, Dong, X

Interpretable stability bounds for spectral graph filters by Kenlay, H, Thanou, D, Dong, X

On the stability of polynomial spectral graph filters by Kenlay, H, Thanou, D, Dong, X

ABodyBuilder3: improved and scalable antibody structure predictions by Kenlay, H, Dreyer, FA, Cutting, D, Nissley, D, Deane, CM

Adversarial attacks on graph classification via Bayesian optimisation by Wan, X, Kenlay, H, Ru, B, Blaas, A, Osborne, MA, Dong, X

On the unreasonable effectiveness of feature propagation in learning on graphs with missing node features by Rossi, E, Kenlay, H, Gorinova, MI, Chamberlain, BP, Dong, X, Bronstein, M

Bayesian optimisation of functions on graphs by Wan, X, Osselin, P, Kenlay, H, Ru, B, Osborne, MA, Dong, X