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
Is Sqream the fastest big data platform? (Ep. 250)
3 months, 2 weeks ago |
datascienceathome.podbean.com
OpenAI CEO Shake-up: Decoding December 2023 (Ep. 249)
3 months, 4 weeks ago |
datascienceathome.podbean.com
Careers, Skills, and the Evolution of AI (Ep. 248)
4 months, 1 week ago |
datascienceathome.podbean.com
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US