Zügner, Daniel

15 publications

NeurIPS 2024 Expected Probabilistic Hierarchies Marcel Kollovieh, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann

NeurIPS 2023 Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions Lukas Gosch, Simon Geisler, Daniel Sturm, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann

ICLR 2022 End-to-End Learning of Probabilistic Hierarchies on Graphs Daniel Zügner, Bertrand Charpentier, Morgane Ayle, Sascha Geringer, Stephan Günnemann

ICLR 2022 Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions Bertrand Charpentier, Oliver Borchert, Daniel Zügner, Simon Geisler, Stephan Günnemann

NeurIPSW 2022 Training Differentially Private Graph Neural Networks with Random Walk Sampling Morgane Ayle, Jan Schuchardt, Lukas Gosch, Daniel Zügner, Stephan Günnemann

ICML 2022 Winning the Lottery Ahead of Time: Efficient Early Network Pruning John Rachwan, Daniel Zügner, Bertrand Charpentier, Simon Geisler, Morgane Ayle, Stephan Günnemann

ICML 2021 Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-Based Models Reliable? Anna-Kathrin Kopetzki, Bertrand Charpentier, Daniel Zügner, Sandhya Giri, Stephan Günnemann

NeurIPS 2021 Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler, Bertrand Charpentier, Simon Geisler, Daniel Zügner, Stephan Günnemann

ICLR 2021 Language-Agnostic Representation Learning of Source Code from Structure and Context Daniel Zügner, Tobias Kirschstein, Michele Catasta, Jure Leskovec, Stephan Günnemann

NeurIPS 2021 Robustness of Graph Neural Networks at Scale Simon Geisler, Tobias Schmidt, Hakan Şirin, Daniel Zügner, Aleksandar Bojchevski, Stephan Günnemann

NeurIPS 2020 Posterior Network: Uncertainty Estimation Without OOD Samples via Density-Based Pseudo-Counts Bertrand Charpentier, Daniel Zügner, Stephan Günnemann

NeurIPS 2020 Reliable Graph Neural Networks via Robust Aggregation Simon Geisler, Daniel Zügner, Stephan Günnemann

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

IJCAI 2019 Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner, Amir Akbarnejad, Stephan Günnemann

ICML 2018 NetGAN: Generating Graphs via Random Walks Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, Stephan Günnemann