Graph Neural Networks (GNNs) are frameworks that excel at handling data represented in graph form, making them ideal for applications in various fields such as transportation and social networks. Videos cover topics like hyperbolic graph convolutional networks, exploring graph bottlenecks, and discussing the efficacy of transformers in graph representation. Whether you're interested in machine learning techniques for ETA prediction or understanding complex graph structures, this area has valuable insights.
42:51
52:38
39:06
The third AI workshop taught by our legendary teacher, Nick Sarafa. This is a full-day hands-on training workshop for purposeful co-creation with AI using Claude Code. Imagine having access to hundreds of billions of dollars of computing power and knowing exactly how to make it work for you through the power of super intelligence.
Let us build it for you. Design and engineering from the people who shipped platforms to billions of users. AI-native, live in weeks, and yours outright at the end.
One a week, never sold on, and one click to stop.
We use a few cookies to keep the site running. Necessary ones are always on. Analytics + marketing are off until you say otherwise.
Read our cookie policy · privacy.
