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YouTube

Intro to Graph Neural Networks

TensorFlow via YouTube

Overview

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This introductory course presents graph neural networks for graph-structured data, covering graph data processing, graph convolutional networks, graph attention networks, and message-passing neural networks. A Colab exercise applies these concepts to graph learning experiments.

Syllabus

- Introduction
- Fantastic GNNs and where to find them
- Graph data processing
- GCNs, GATs and MPNNs
- Colab exercise
- Resources for further study

Taught by

TensorFlow

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