TLDR
In this article, we will learn about GNNs and its structure as well as its applications. The complexity of graph data has imposed significant challenges for both classical ML and modern DL algorithms. Recently, many studies extending DL approaches for graph data have emerged. The most interesting applications are for recommendation and health, with health being the no. 1. The field is still at its beginning stages, who knows what we could do in a few years and a couple of thousand papers from now. I would like to let you know that I’m a Christian and I believe in GOD.via the TL;DR App
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Written by prince-canuma | Data Scientist and DevRel at Neptune.ai
