Talk
What are graph neural networks?
- Celia Hacker (MPI MiS, Leipzig)
Attention: this talk is postponed to a later date.
Abstract
Graph structured data appears in many different context and with this comes the need for tools to analyse them. One of the most common tools to study data sets of graphs are graph neural networks (GNNs). However, to many of us GNNs remain a black box that magically perform predictions about graphs. In this lecture we will learn about the basics of GNNs, possible generalizations and research directions.
Attention: this talk is postponed to a later date.
Attention: this talk is postponed to a later date.
