Ali Ghodsi, Deep Learning, Graph Neural Newark (Part 1), Fall 2023, Lecture 18

Exploring Graph Convolutional Networks and ChebNet
This video provides an overview of Graph Convolutional Networks (GCNs), focusing on the concept of Convolution on Graphs and its application in various GCN models such as ChebNet and Vanilla Spectral GCNs.
Keywords: Convolution on Graphs, Graph Convolutional Network, ChebNet, ConvGNNs, Vanilla Spectral GCN, Chebyshev Polynomials, ChebNet Graph Convolution

[@amirrezamohammadi]

Truly Enjoyed! Thanks

[@chaowang6903]

great stuff, do we still need egen decomposition to get lambda_max ?