Graphs in Artificial Intelligence
Neural Networks


The GAIN group investigates the application of Deep Learning techniques on graphs to address various challenges in the field of Graph Learning. The focus in algorithms and theoretical work is on the study of dynamic graphs due to their high degree of freedom in modeling tasks. We also develop application-specific graph-learning models.

The research includes different topics such as:


We are funded by the Federal Ministry of Education and Research Germany (BMBF) under the following funding codes:
01IS20047A, according to the 'Policy for the funding of female junior researchers in Artificial Intelligence',
16ME0877, according to the KMU-innovativ' guideline.
We are funded by the Federal Ministry for Economic Affairs and Climate Action(BMWK) under the following funding code:
020E-100626677, within the '7. Energieforschungsprogramm'.

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