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Overview
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This course explains the 2017 Graph Convolutional Network paper, covering the GCN layer update, message-passing interpretation, spectral derivation, and a semi-supervised node-classification example.
Syllabus
- Introduction
- Sponsored Segment: Link
- Abstract and overview
- Introduction to the problem
- How GCNs work
- Theory of GCN derivation
- GCN Node classification example
- Conclusions & Results
- Ending thoughts
Taught by
Aladdin Persson