gSSL

Additional material (work in progress source code) to the forthcoming paper "Graph-Based Semi-Supervised Learning based on Bridgeness Biased
Random Walks", by Sarah de Nigris and Matteo Morini.

Interactive (jupyter notebook) and plain-python version available. See requirements.txt for dependences; run as

python Bridgeness_BiasedRandomWalk_pipeline.py --help

to see the parameters list.