Seminar: Graph Learning (PhD course)

In this seminar, we cover different neural-network architectures for representing graphs. The participants read and present selected papers, which will be discussed during the meetings.

The following topics will be covered:

  • Graph Convolutional Networks (GCN)
  • Graph Neural Networks (GNN)
  • Message-Passing Neural Networks (MPNN)
  • Graph Transformer Architectures
  • Expressive Power of different Architectures
  • Applications in Symbolic Reasoning

Course Information