Stephan Günnemann
Also known as Stephan Gunnemann
Günnemann created an Emmy Noether group in 2015 and became a TUM professor in 2016. His research studies reliable learning for graphs, networks and temporal data. He coauthored work on adversarial attacks against graph neural networks and NetGAN, a method for generating graphs through random walks. Both entries are dated 2018. His publications include work on certifiable robustness to graph perturbations in 2019 and sparsity-aware randomized smoothing in 2020. These are shared studies of guarantees for defined data and perturbation settings.
- Works
- 438
- Citations
- 17,107
- h-index
- 48
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2015–2016
TUM research appointments
Günnemann created an Emmy Noether group in 2015 and became a TUM professor in 2016. His research studies reliable learning for graphs, networks and temporal data.
-
2018
Attacks and graph generation
He coauthored work on adversarial attacks against graph neural networks and NetGAN, a method for generating graphs through random walks. Both studies appeared in 2018.
-
2019–2020
Certificates and graph learning
He coauthored work on certifiable robustness to graph perturbations in 2019 and sparsity-aware randomized smoothing in 2020.
Sources and credits
Photo: ellis.eu; Stephan Günnemann profile photograph; creator not stated. License: Not stated by source. Source: ellis.eu. Cropped to a square and resized. Ask us to remove or replace this photo.