What I learned about Graph Neural Networks

Applying convolution and attention mechanism on graphs

In the latest years, Graph Neural Networks are quickly gaining traction in the Machine Learning field, becoming suitable for a variety of tasks. It’s no doubt that the advent of Social Networks played an important role in GNNs’ success, yet they turned out to be applicable also in biology, medicine, and other fields where graphs represent the fundamental entity.

I’m always attracted by arising technologies and …

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