all AI news
The Power of Graph Neural Networks: Understanding the Future of AI - Part 2/2 (Ep.224)
April 18, 2023, 12:15 p.m. | Francesco Gadaleta
Data Science at Home datascienceathome.podbean.com
First, we explore Hierarchical Networks, which allow for the efficient representation and analysis of complex graph structures by breaking them down into smaller, more manageable components.
Next, we turn our attention to Generative Graph Models, which enable the creation of new graph structures that are similar to those in a given dataset. We discuss the inner workings of these models and their potential …
analysis applications attention breaking components dataset discuss future generative graph graph neural networks hierarchical networks neural networks next part podcast power representation understanding world
More from datascienceathome.podbean.com / Data Science at Home
OpenAI CEO Shake-up: Decoding December 2023 (Ep. 249)
3 months, 1 week ago |
datascienceathome.podbean.com
Careers, Skills, and the Evolution of AI (Ep. 248)
3 months, 3 weeks ago |
datascienceathome.podbean.com
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Risk Management - Machine Learning and Model Delivery Services, Product Associate - Senior Associate-
@ JPMorgan Chase & Co. | Wilmington, DE, United States
Senior ML Engineer (Speech/ASR)
@ ObserveAI | Bengaluru