Intro to graph neural networks (ML Tech Talks)
In this session of Machine Learning Tech Talks, Senior Research Scientist at DeepMind, Petar Veličković, will give an introductory presentation and Colab exercise on graph neural networks (GNNs).
Chapters:
0:00 - Introduction
0:34 - Fantastic GNNs and where to find them
7:48 - Graph data processing
13:42 - GCNs, GATs and MPNNs
26:12 - Colab exercise
49:52 - Resources for further study
Resources:
Theoretical Foundations of GNNs → https://goo.gle/3xwKPSW
Compiled resources for further study → https://goo.gle/3cO7gvb
Catch more ML Tech Talks → http://goo.gle/ml-tech-talks
Subscribe to TensorFlow → https://goo.gle/TensorFlow
Видео Intro to graph neural networks (ML Tech Talks) канала TensorFlow
Chapters:
0:00 - Introduction
0:34 - Fantastic GNNs and where to find them
7:48 - Graph data processing
13:42 - GCNs, GATs and MPNNs
26:12 - Colab exercise
49:52 - Resources for further study
Resources:
Theoretical Foundations of GNNs → https://goo.gle/3xwKPSW
Compiled resources for further study → https://goo.gle/3cO7gvb
Catch more ML Tech Talks → http://goo.gle/ml-tech-talks
Subscribe to TensorFlow → https://goo.gle/TensorFlow
Видео Intro to graph neural networks (ML Tech Talks) канала TensorFlow
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