Henry Kenlay | DeepAI

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∙ 06/20/2023

Structure-Aware Robustness Certificates for Graph Classification

Certifying the robustness of a graph-based machine learning model poses ...

0 Pierre Osselin, et al. ∙

∙ 06/08/2023

Bayesian Optimisation of Functions on Graphs

The increasing availability of graph-structured data motivates the task ...

14 Xingchen Wan, et al. ∙

∙ 03/29/2022

Graph similarity learning for change-point detection in dynamic networks

Dynamic networks are ubiquitous for modelling sequential graph-structure...

9 Déborah Sulem, et al. ∙

∙ 11/23/2021

On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features

While Graph Neural Networks (GNNs) have recently become the de facto sta...

17 Emanuele Rossi, et al. ∙

∙ 11/04/2021

Adversarial Attacks on Graph Classification via Bayesian Optimisation

Graph neural networks, a popular class of models effective in a wide ran...

14 Xingchen Wan, et al. ∙

∙ 02/18/2021

Interpretable Stability Bounds for Spectral Graph Filters

Graph-structured data arise in a variety of real-world context ranging f...

7 Henry Kenlay, et al. ∙

∙ 10/26/2020

On the Stability of Graph Convolutional Neural Networks under Edge Rewiring

Graph neural networks are experiencing a surge of popularity within the ...

12 Henry Kenlay, et al. ∙

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