Zügner, Daniel;Günnemann, StephanCertifiable Robustness and Robust Training for Graph Convolutional NetworksProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '19ACM Press2019
Stephan Rabanser, Stephan Günnemann, Zachary C. LiptonFailing Loudly: An Empirical Study of Methods for Detecting Dataset Shift2019
Johannes Klicpera, Stefan Weißenberger, Stephan GünnemannDiffusion Improves Graph Learning2019
Aleksandar Bojchevski, Stephan GünnemannCertifiable Robustness to Graph Perturbations2019
Marin Biloš, Bertrand Charpentier, Stephan GünnemannUncertainty on Asynchronous Time Event Prediction2019
Daniel Zügner, Stephan GünnemannAdversarial Attacks on Graph Neural Networks via Meta Learning2019
Mukherjee, Subhabrata;Guennemann, StephanGhostLink: Latent Network Inference for Influence-aware RecommendationThe World Wide Web Conference on - WWW '19ACM Press2019
Kurle, Richard;Günnemann, Stephan;Van der Smagt, PatrickMulti-Source Neural Variational InferenceProceedings of the AAAI Conference on Artificial Intelligence2019334114-4121
Zügner, Daniel;Akbarnejad, Amir;Günnemann, StephanAdversarial Attacks on Neural Networks for Graph DataProceedings of the Twenty-Eighth International Joint Conference on Artificial IntelligenceInternational Joint Conferences on Artificial Intelligence Organization2019
Mrowca, Artur;Nocker, Martin;Steinhorst, Sebastian;Günnemann, StephanLearning Temporal Specifications from Imperfect Traces Using Bayesian InferenceProceedings of the 56th Annual Design Automation Conference 2019 on - DAC '19ACM Press2019