pygcn
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add renormalization trick option + benchmark notebook
I've added the option to use the "renormalization trick" shown in Kipf&Welling, 2017.
Along with this option, I've added a benchmark notebook where the performances of three solutions are shown:
- A model which does not take into account the graph structure (BASELINE)
- A GCN model which uses the adjacency matrix with the normalization formula D^-1xA
- A GCN model which uses the adjacency matrix with the "renormalization trick" formula D^-1/2xAxD^-1/2