Materials for technical overview of 'Semi-Supervised Classification with GCNs' by Kipf & Welling (2017) given as an invited talk at ML6 in Ghent, Belgium 24 April, 2018.
The dependencies to run the notebooks are:
numpyscipy
The slides for this talk can be generated via:
jupyter nbconvert overview_ssc_gcn.ipynb --to slides --post serve --template output_toggle.tplTo run the corresponding notebook with examples, use
jupyter notebook graph-examples.ipynb