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💡 ML Concept of the Day: What is Graph Attention Network? 

Testing is one of the most critical elements of the lifecycle of machine learning (ML) models and one that is starting to gain prominence in MLOps platforms. ML testing is also a widely covered topic in the research literature, with new innovative techniques being published regularly. Today, we are starting a new series to dive deeper into the subject of ML testing concepts and relevant research and provide an overview of the best technology stacks in this nascent space.  

The essence of ML testing is to… →become a Premium subscriber to read along. Only $25/per year.

Also in this issue:

• we explain graph attention networks (GATs);

• we discuss the original GAT paper;

• we explore TF-GNN, a library for implementing GNNs in TensorFlow. 

Enjoy the learning!  

→read the full article