[Graph Convolutional Network] by hand ✍️
Graph Convolutional Networks (GCNs), introduced by Thomas Kipf and Max Welling in 2017, have emerged as a powerful tool in the analysis and interpretation of data structured as graphs.
This exercise demonstrates how GCN works in a simple application: ... See more
Tom Yehx.com
Images aren’t arbitrary collections of pixels -they have complicated structure, even small ones. That’s why it’s hard to generate images well. Let me give you an idea:
3×3 gray images represented as points in ℝ⁹ lie approximately on a 2-D manifold: the Klein bottle!
1/4 https://t.co/zwcw93jnYG