OVERVIEW

Implementation of graph based diffusions. Heat Kernel, Personalised PageRank, and custimized diffusions provided. Useful for semi-supervised learning

CONTAINS

Module gpmod contains:

a) predict.py

Class definition of diffusion_SSL() graph-based diffusions, with member functions for..

1. Loading a graph adjacency matrix

2. Configuring diffusion parameters

3. Seeding and running diffusion

b) utils.py

Some utility functions

USAGE

See example.py and documentation in predict.py