Zügner, Daniel;Günnemann, Stephan
Certifiable Robustness and Robust Training for Graph Convolutional Networks
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '19
ACM Press
2019

Stephan Rabanser, Stephan Günnemann, Zachary C. Lipton
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
2019

Johannes Klicpera, Stefan Weißenberger, Stephan Günnemann
Diffusion Improves Graph Learning
2019

Aleksandar Bojchevski, Stephan Günnemann
Certifiable Robustness to Graph Perturbations
2019

Marin Biloš, Bertrand Charpentier, Stephan Günnemann
Uncertainty on Asynchronous Time Event Prediction
2019

Daniel Zügner, Stephan Günnemann
Adversarial Attacks on Graph Neural Networks via Meta Learning
2019

Mukherjee, Subhabrata;Guennemann, Stephan
GhostLink: Latent Network Inference for Influence-aware Recommendation
The World Wide Web Conference on - WWW '19
ACM Press
2019

Kurle, Richard;Günnemann, Stephan;Van der Smagt, Patrick
Multi-Source Neural Variational Inference
Proceedings of the AAAI Conference on Artificial Intelligence
2019
33
4114-4121

Zügner, Daniel;Akbarnejad, Amir;Günnemann, Stephan
Adversarial Attacks on Neural Networks for Graph Data
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
International Joint Conferences on Artificial Intelligence Organization
2019

Mrowca, Artur;Nocker, Martin;Steinhorst, Sebastian;Günnemann, Stephan
Learning Temporal Specifications from Imperfect Traces Using Bayesian Inference
Proceedings of the 56th Annual Design Automation Conference 2019 on - DAC '19
ACM Press
2019