We’re thrilled to share that our paper “Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win” by Lorenz Kummer, Samir Moustafa, Anatol Ehrlich, Franka Bause, Nikolaus Suess, Wilfried Gansterer and Nils Kriege has been accpted at the 42nd International Conference on Machine Learning, July 13th-19th 2025, Vancouver, Canada! This work bridges two important areas…

Further raising awareness for the inherent vulnerabilities of Graph Neural Networks (GNNs) to adversarial Bit Flip Attacks (BFAs), Lorenz presented our group’s latest work “On the Relationship Between Robustness and Expressivity of Graph Neural Networks” by Lorenz Kummer, Wilfried Gansterer and Nils Kriege at the 28th International Conference on Artificial Intelligence and Statistics (AISTATS). In…

With “Crossfire: An Elastic Defense Framework for Graph Neural Networks under Bit Flip Attacks” by Lorenz Kummer, Samir Moustafa, Wilfried Gansterer and Nils Kriege, we presented a novel approach to defending Graph Neural Networks (GNNs) from Bit Flip Attacks (BFAs) at the 39th Annual AAAI Conference on Artificial Intelligence. Crossfire combines innovative techniques like saliency-based…

We are glad to announce our paper “On the Relationship Between Robustness and Expressivity of Graph Neural Networks” by Lorenz Kummer, Wilfried Gansterer and Nils Kriege has been accepted at the 28th International Conference on Artificial Intelligence and Statistics (AISTATS) , which will take place from 3rd – May 5th, 2025 in Mai Kaho, Thailand!…

We are excited to announce that the paper Maximally Expressive GNNs for Outerplanar Graphs by Franka Bause, Fabian Jogl, Patrick Indri, Tamara Drucks, David Penz, Nils Kriege, Thomas Gärtner, Pascal Welke, and Maximilian Thiessen has been accepted to Transactions on Machine Learning Research (TMLR)! The paper proposes a linear time graph transformation that enables the…

We are excited to announce the acceptance of our recent work “Crossfire: An Elastic Defense Framework for Graph Neural Networks under Bit Flip Attacks” by Lorenz Kummer, Samir Moustafa, Wilfried Gansterer and Nils Kriege at the 39th Annual AAAI Conference on Artificial Intelligence, which will take place in Philadelphia, Pennsylvania, USA from February 25 –…

The paper “Preventing Representation Rank Collapse in MPNNs by Splitting the Computational Graph” was accepted at the Learning on Graphs Conference (LoG) 2024!

The kriegegroup.univie.ac.at website has officially launched on 11th November 2024. Its aim is to consolidate the information about the Machine Learning with Graphs work group to make our research more accessible to interested individuals. For the more tech savvy people, here is a quick overview of the tech stack used on this website: WordPress as…

Professor Nils Kriege was featured in an article discussing how Artificial Intelligence assists in drug discovery by analyzing molecular data to identify new medications and the potential this technology offers for further development and research. For more details, you can read the article online on futurezone.at

The paper Approximating the Graph Edit Distance with Compact Neighborhood Representations by Franka Bause (DoCSunivie student, Cluster D&K), Christian Permann and Nils M. Kriege (DoCSunivie Supervisor, Cluster D&K) was accepted at ECML/PKDD 2024. You can see the full version of the paper at Springer Link. The European Conference on Machine Learning and Principles and Practice…