Graph Neural Networks: Theoretical Motivations

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

We have changed the time!

We will discuss 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.


We have changed the time of the event.

Click here for an interactive widget.

Click here for an interactive widget.


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

Published: by ;

Current Ref:

  • cpe/25.gnn-2.md