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Localized Randomized Smoothing for Collective Robustness Certification


Oct 28, 2022
Jan Schuchardt, Tom Wollschl├Ąger, Aleksandar Bojchevski, Stephan G├╝nnemann

* 9 pages 

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Unveiling the Sampling Density in Non-Uniform Geometric Graphs


Oct 15, 2022
Raffaele Paolino, Aleksandar Bojchevski, Stephan G├╝nnemann, Gitta Kutyniok, Ron Levie


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Robustness of Graph Neural Networks at Scale


Nov 08, 2021
Simon Geisler, Tobias Schmidt, Hakan ┼×irin, Daniel Z├╝gner, Aleksandar Bojchevski, Stephan G├╝nnemann

* 39 pages, 22 figures, 17 tables NeurIPS 2021 

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Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness


Oct 21, 2021
Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan G├╝nnemann


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Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More


Aug 29, 2020
Aleksandar Bojchevski, Johannes Klicpera, Stephan G├╝nnemann

* Proceedings of the 37th International Conference on Machine Learning (ICML 2020) 

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Scaling Graph Neural Networks with Approximate PageRank


Jul 03, 2020
Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek R├│zemberczki, Michal Lukasik, Stephan G├╝nnemann

* Published as a Conference Paper at ACM SIGKDD 2020 

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Certifiable Robustness to Graph Perturbations


Oct 31, 2019
Aleksandar Bojchevski, Stephan G├╝nnemann

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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Pitfalls of Graph Neural Network Evaluation


Nov 14, 2018
Oleksandr Shchur, Maximilian Mumme, Aleksandar Bojchevski, Stephan G├╝nnemann


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Personalized Embedding Propagation: Combining Neural Networks on Graphs with Personalized PageRank


Oct 14, 2018
Johannes Klicpera, Aleksandar Bojchevski, Stephan G├╝nnemann


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