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Graphs for Machine Learning: A Comprehensive Guide

🧵 The TL;DR

This article explores the use of graphs in machine learning tasks, including different types of graphs, graph representations, and graph neural networks. We also discuss the latest developments in graph transformers and provide an example of how graphs can be used.

    🔑 Key Points

  • Graphs are versatile and can represent complex relationships between data points
  • Different types of graphs can be used for machine learning tasks
  • Graph neural networks are being used to solve many tasks with industry applications

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