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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

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

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

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Aleksandar Bojchevski, Stephan Günnemann
Certifiable Robustness to Graph Perturbations
2019

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

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

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

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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

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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

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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