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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  1. Hamilton2020 Hamilton WL. Graph representation learning. Synth lect artif intell mach learn. 2020;14: 1–159. doi:10.2200/s01045ed1v01y202009aim046 ↩︎

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Current Ref:

  • cpe/26.gnn-3.md