Slides and notebook example code for Semi-Supervised GCN overview
-
Updated
Apr 24, 2018 - Jupyter Notebook
Slides and notebook example code for Semi-Supervised GCN overview
A small tutorial notebook on Graph Neural Networks, especially Graph Convolutional Networks
A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.
Add a description, image, and links to the graph-convolutional-networks topic page so that developers can more easily learn about it.
To associate your repository with the graph-convolutional-networks topic, visit your repo's landing page and select "manage topics."