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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 ...
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06/08/2023
Bayesian Optimisation of Functions on Graphs
The increasing availability of graph-structured data motivates the task ...
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03/29/2022
Graph similarity learning for change-point detection in dynamic networks
Dynamic networks are ubiquitous for modelling sequential graph-structure...
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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...
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11/04/2021
Adversarial Attacks on Graph Classification via Bayesian Optimisation
Graph neural networks, a popular class of models effective in a wide ran...
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02/18/2021
Interpretable Stability Bounds for Spectral Graph Filters
Graph-structured data arise in a variety of real-world context ranging f...
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10/26/2020
