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 Hamilton1.
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)
: Lark（飞书）
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Conditional Probability Estimation
Current Ref:
- cpe/26.gnn-3.md