April 18, 2023, 12:15 p.m. | Francesco Gadaleta

Data Science at Home datascienceathome.podbean.com

In this episode of our podcast, we dive deep into the fascinating world of Graph Neural Networks.
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

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