| 2022 | ICLR | Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions. | Bertrand Charpentier, Oliver Borchert, Daniel Zgner, Simon Geisler, Stephan Gnnemann |
| 2022 | ICLR | End-to-End Learning of Probabilistic Hierarchies on Graphs. | Daniel Zgner, Bertrand Charpentier, Morgane Ayle, Sascha Geringer, Stephan Gnnemann |
| 2022 | ICML | Winning the Lottery Ahead of Time: Efficient Early Network Pruning. | John Rachwan, Daniel Zgner, Bertrand Charpentier, Simon Geisler, Morgane Ayle, Stephan Gnnemann |
| 2021 | ICLR | Language-Agnostic Representation Learning of Source Code from Structure and Context. | Daniel Zgner, Tobias Kirschstein, Michele Catasta, Jure Leskovec, Stephan Gnnemann |
| 2021 | ICML | Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? | Anna-Kathrin Kopetzki, Bertrand Charpentier, Daniel Zgner, Sandhya Giri, Stephan Gnnemann |
| 2020 | ALENEX | Group Centrality Maximization for Large-scale Graphs. | Eugenio Angriman, Alexander van der Grinten, Aleksandar Bojchevski, Daniel Zgner, Stephan Gnnemann, Henning Meyerhenke |
| 2020 | KDD | Certifiable Robustness of Graph Convolutional Networks under Structure Perturbations. | Daniel Zgner, Stephan Gnnemann |
| 2019 | GI | Adversarial Attacks on Graph Neural Networks. | Daniel Zgner, Amir Akbarnejad, Stephan Gnnemann |
| 2019 | ICLR | Adversarial Attacks on Graph Neural Networks via Meta Learning. | Daniel Zgner, Stephan Gnnemann |
| 2019 | IJCAI | Adversarial Attacks on Neural Networks for Graph Data. | Daniel Zgner, Amir Akbarnejad, Stephan Gnnemann |
| 2019 | KDD | Certifiable Robustness and Robust Training for Graph Convolutional Networks. | Daniel Zgner, Stephan Gnnemann |
| 2018 | ICML | NetGAN: Generating Graphs via Random Walks. | Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zgner, Stephan Gnnemann |
| 2018 | KDD | Adversarial Attacks on Neural Networks for Graph Data. | Daniel Zgner, Amir Akbarnejad, Stephan Gnnemann |
| 2015 | ICIS | Pushing the limits of RFID: Empowering RFID-based Electronic Article Surveillance with Data Analytics Techniques. | Matthias Hauser, Daniel Zgner, Christoph Flath, Frdric Thiesse |