Graph Neural Networks (GNNs)
This post is a summary of lectures 6 to 8 (Videos 17 to 25) of Stanford CS224W, ‘Machine Learning with Graphs’ course. (youtube) Introduction to Graph Neural Networks The goal is to find an encoding of vector $v$ based graph structure $$ ENC(v) = \text{Multiple layers of non-linear transformation} \ \text{based on graph structure} $$ Deep Graph Encoder Tasks Node classification Link prediction Community detection Network similarity 😐 Modern deep learning toolbox is designed for simple sequences and grids...