This demo is the sampling inference for Graph Topic Model, and more details about this model can be found in the following reference:

@ARTICLE{7015568, 
author={J. Xuan and J. Lu and G. Zhang and X. Luo}, 
journal={IEEE Transactions on Cybernetics}, 
title={Topic Model for Graph Mining}, 
year={2015}, 
volume={45}, 
number={12}, 
pages={2792-2803}, 
keywords={data mining;data structures;graph theory;pattern classification;text analysis;unsupervised learning;Bernoulli distribution;GTM;bag-of-word assumption;classification;edge modeling;graph dataset;graph mining;graph nodes;graph representation;graph supervised learning;graph-structured data;innovative graph topic model;latent Dirichlet allocation;latent topic discovery;unsupervised learning;Chemical elements;Chemicals;Data mining;Data models;Hidden Markov models;Inference algorithms;Vectors;Graph mining;latent Dirichlet allocation (LDA);topic model}, 
doi={10.1109/TCYB.2014.2386282}, 
ISSN={2168-2267}, 
month={Dec},}