Ready to watch?

To access this and all other video sessions from our past events create your FREE account today!

Already have an account? Login
Ekaterina Sirazitdinova - 1 year ago
Graph Neural Networks: What’s behind the Hype?
expand_more
Graph Neural Networks (GNNs) are AI models designed to derive insights from unstructured data described by graphs. For different segments and industries, GNNs find suitable applications such as molecular analysis, drug discovery, prediction of developments in stock market, thermodynamics analysis, and even modelling of human brain. Unlike conventional CNNs, GNNs address the challenge of working with data in irregular domains. In this talk, I will provide an introductory overview of the theory behind GNNs, take a closer look at the types of problems that GNNs are well suited for, and discuss several approaches to model unstructured problems as classification or regression at various levels.
Featured jobs
supervisor_account VISION Consulting GmbH
room Hanover, Germany
room +1
stars Senior
euro_symbol 60-84K
translate German
Java
Apache
Oracle
supervisor_account inovex GmbH
room Munich, Germany
room +7
stars Intermediate
euro_symbol 70-100K
translate German
Kubernetes
Ansible
Terraform
+1
supervisor_account Camunda
language Remote from Anywhere
stars Intermediate
translate English
Kubernetes
DevOps
Cloud (AWS/Google/Azure)