21.08.2020
MCML at KDD 2020
Two Accepted Papers
26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, California, USA, Aug 23-27, 2020
We are happy to announce that MCML researchers have contributed a total of 2 papers to KDD 2020. Congrats to our researchers!
Main Track (2 papers)
C. Plant • S. Biedermann • C. Böhm
Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning.
KDD 2020 - 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Diego, California, USA, Aug 23-27, 2020. DOI
Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning.
KDD 2020 - 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Diego, California, USA, Aug 23-27, 2020. DOI
D. Zügner • S. Günnemann
Certifiable Robustness of Graph Convolutional Networks under Structure Perturbation.
KDD 2020 - 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Diego, California, USA, Aug 23-27, 2020. DOI
Certifiable Robustness of Graph Convolutional Networks under Structure Perturbation.
KDD 2020 - 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Diego, California, USA, Aug 23-27, 2020. DOI
Related
27.10.2026
Runner-Up Prize at AutoML 2026 for Tabular-DC-Bench
Tabular-DC-Bench, by MCML Junior Member Mamdouh Aljoud and MCML Director Thomas Seidl, among others, won a runner-up prize at AutoML 2026.
27.10.2026
Welcoming Ewa Szczurek to MCML
Ewa Szczurek joins MCML as Professor of AI in Life Sciences at LMU, focusing on probabilistic and generative models for medicine.
26.10.2026
Best Paper Award at AIES 2026 for Work on Algorithmic Contestability
MCML Junior Member Timo Freiesleben received the Best Paper Award at AIES 2026 for his work on algorithmic contestability.
