# Graph Neural Networks: Theoretical Motivations (Part 2)

## #Graph #Graph Neural Networks #Neural Networks #Machine Learning

We discussed the first section of Chapter 7. In this event, we will continue discussing chapter 7 of Hamilton^{1}.

In this chapter, we will visit some of the theoretical underpinnings of graph neu- ral networks (GNNs). One of the most intriguing aspects of GNNs is that they were independently developed from distinct theoretical motivations.

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by NeuronStar;

: 2021-11-04T14:00:00 - 2021-11-04T15:30:00 (CET)
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Conditional Probability Estimation

**Current Ref:**

- cpe/26.gnn-3.md