Module - Deep Learning on graphs (2)

Table of Contents

Signal processing on graphs

0:00 Introduction
1:40 Signal processing on graphs
3:04 Recap on Fourier analysis
5:04 Spectral graph theory
13:44 Graph Fourier analysis
16:38 Filtering
18:33 Filtering on graphs
22:01 Learning a localized kernel
25:03 Chebyshev polynomials
30:28 Convolutional neural networks on graphs

Slides

• slides

Notebook

• notebook in colab

Posts

• Inductive bias in GCN: a spectral perspective (run the code or open it in Colab)