Daniel Zügner

9 papers and 234 indexed citations i.

Daniel Zügner has authored 9 papers that have received a total of 234 indexed citations. This includes 7 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 1 paper in Molecular Biology. The topics of these papers are Adversarial Robustness in Machine Learning (5 papers), Advanced Graph Neural Networks (4 papers) and Anomaly Detection Techniques and Applications (2 papers). Daniel Zügner is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Advanced Graph Neural Networks (4 papers) and Anomaly Detection Techniques and Applications (2 papers) and collaborates with scholars based in Germany, Denmark and United States. Daniel Zügner's co-authors include Stephan Günnemann, Amir Akbarnejad, Frank Noé, Marco Orsini Federici and Víctor García Satorras and has published in prestigious journals such as Journal of Chemical Theory and Computation and ACM Transactions on Knowledge Discovery from Data