|Time:||June 15, 2022|
|Download as iCal:||
We will survey different methods for representing and learning with graphs including structural analysis as well as neural graph embedding methods and graph neural networks. We will show some of our recent work with applications in information retrieval, knowledge graph completion, and traffic scene understanding.
For serving the goal of dissemination, we provide individual and independent lecture sessions on ML related topics. These take place on Wednesdays at 14:00-16:00.