Graph Neural Networks: An overview

An introduction to Graph Neural Networks

Sergios Karagiannakos
Towards Data Science
4 min readFeb 1, 2020

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https://mapr.com/blog/driving-insights-network-graphs/

Over the past decade, we’ve seen that Neural Networks can perform tremendously well in structured data like images and text. Most of the popular models like convolutional networks, recurrent, autoencoders work very well on data that have a tabular format like a matrix or a vector.

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