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:
Cooperations