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Graph Neural Networks (#GNNs) & their applications to life sciences are an exciting #DeepLearning area to discover!
But, to develop or apply GNN methods, we first need to understand the maths behind.
So, back to basics!
Here's a plain language summary of what's behind GNNs👇
But, to develop or apply GNN methods, we first need to understand the maths behind.
So, back to basics!
Here's a plain language summary of what's behind GNNs👇
This summary is based on @PetarV_93’s recent paper with introductory theoretical notions on Graph Neural Networks.
This resource is very much an introductory one.
arxiv.org/abs/2301.08210
This resource is very much an introductory one.
arxiv.org/abs/2301.08210
If you are already familiar with Graph Neural Networks, but still want to better understand the maths behind in a formalized logical framework, I recommend the following book/paper by @mmbronstein @joanbruna @TacoCohen @PetarV_93
arxiv.org/abs/2104.13478
arxiv.org/abs/2104.13478
