Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Graph Convolutional Networks - GCNs

Alfredo Canziani via YouTube

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This lecture explains how traditional convolutional neural networks extend to graph data. It covers spectral and spatial Graph Convolutional Networks, including isotropic and anisotropic architectures, comparisons, experiments, and benchmarks.

Syllabus

– Week 13 – Lecture
– Architecture of Traditional ConvNets
– Convolution of Traditional ConvNets
– Spectral Convolution
– Spectral GCNs
– Template Matching, Isotropic GCNs and Benchmarking GNNs
– Anisotropic GCNs and Conclusion

Taught by

Alfredo Canziani

Reviews

Start your review of Graph Convolutional Networks - GCNs

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.