Graph Neural Networks and Generative AI with Jure Leskovec

AI Explained

On this episode, we’re joined by Jure Leskovec, Stanford professor and co-founder at Kumo.ai.

Graph neural networks (GNNs) are gaining popularity in the AI community, helping ML teams build advanced AI applications that provide deep insights to tackle real-world problems. Stanford professor and co-founder at Kumo.AI, Jure Leskovec, whose work is at the intersection of graph neural networks, knowledge graphs, and generative AI, will explore how organizations can incorporate GNNs in their generative AI initiatives.