News

Opportunity for Postdocs from abroad to join us as a Tenure Track Professor and Research Group Leader

Prof. Claudia Plant erklärt im Profil-Interview, wie klug künstliche Intelligenz tatsächlich ist.

Congratulations to Christian Böhm, who co-wrote the paper with Peiyan Li and Honglian Wang!

A catalogue of lay people’s information needs about AI systems

Künstliche Intelligenz soll bei der Wirkstoffentwicklung die metaphorische Nadel im Heuhaufen finden. Ein Interview mit Prof. Nils M. Kriege in der Kurier...

Four papers by various members of the Data Mining and Machine Learning group have been accepted at the IEEE International Conference on Data Mining (ICDM 2024)

Jointly organized International Workshop on Mining and Learning with Graphs AND two amazing paper presentations

Our papers "On the Two Sides of Redundancy in Graph Neural Networks" and "Approximating the Graph Edit Distance with Compact Neighborhood Representations" have been accepted...

Our paper "Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent" has been accepted at the SIGKDD Conference on Knowledge Discovery and Data...

Warum Künstliche Intelligenz gar nicht so intelligent ist, die meisten Daten ungenutzt herum liegen und wie man bei all diesen rasanten Entwicklungen am Ball bleibt, darüber...

Auf KI basierende Bild- und Textgeneratoren produzieren digitale Werke von verblüffender Qualität, die manche Menschen beunruhigen: Wird Kunst bald automatisiert? Rudolphina...

Our paper "Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length" has been accepted at the Journal of Machine Learning Research.

We are excited to announce that the 22nd International Workshop on Mining and Learning with Graphs (MLG) will again be held jointly with the ECML PKDD this September (either...

Franka presented the paper "Removing Redundancy in Graph Neural Networks" by Franka Bause, Samir Moustafa, Wilfried Gansterer, Nils M Kriege (Link:...

Benjamin Roth untersucht, wie Algorithmen uns bei der Verarbeitung von großen Textmengen unterstützen können. Gemeinsam mit seinem Team entwickelt er Programme, mit denen man...

We are excited to announce that our paper "Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning" has been accepted at the European Conference on...

We are excited to announce that the paper "Posterior Consistency for Missing Data in Variational Autoencoders" has been accepted at the European Conference on Machine...

We are excited to announce that the paper "A Higher-Order Temporal H-Index for Evolving Networks" has been accepted at the SIGKDD Conference on Knowledge Discovery and Data...