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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
Zügner, Daniel;Akbarnejad, Amir;Günnemann, Stephan
Adversarial Attacks on Neural Networks for Graph Data
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '18
ACM Press
2018
Shalaby, Marawan;Stutzki, Jan;Schubert, Matthias;Günnemann, Stephan
An LSTM Approach to Patent Classification based on Fixed Hierarchy Vectors
Proceedings of the 2018 SIAM International Conference on Data Mining
Society for Industrial and Applied Mathematics
2018
Then, Manuel;Kersten, Timo;Günnemann, Stephan;Kemper, Alfons;Neumann, Thomas
Automatic algorithm transformation for efficient multi-snapshot analytics on temporal graphs
Proceedings of the VLDB Endowment
2017
10
8
877-888
Bojchevski, Aleksandar; Günnemann, Stephan
Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure
2738-2745
AAAI Conference on Artificial Intelligence
2018
A. Bojchevski, and S. Günnemann
Bayesian robust attributed graph clustering: joint learning of partial anomalies and group structure,
AAAI Conf. Artificial Intelligence
2017
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
Bojchevski, Aleksandar; Günnemann, Stephan
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
1–13
International Conference on Learning Representations
2018
Hubig, Nina;Fengler, Philip;Züfle, Andreas;Yang, Ruixin;Günnemann, Stephan
Detection and Prediction of Natural Hazards Using Large-Scale Environmental Data
Advances in Spatial and Temporal Databases
Springer International Publishing
2017
Mrowca, Artur;Moser, Barbara;Günnemann, Stephan
Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping
Machine Learning and Knowledge Discovery in Databases
Springer International Publishing
2019
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