A novel network core structure extraction algorithm utilized variational autoencoder for community detection.
Please follow the content in Website_Instruction.pdf
The network datasets are available at: http://www-personal.umich.edu/~mejn/netdata/, https://linqs.org/datasets/ and http://snap.stanford.edu/data/index.html.
The code for FN, KL, GN, LE, LPA, CNM, FUA and Infomap are implemented by built-in algorithms in the python packages named netwrokx or igraph. https://networkx.org/documentation/stable/reference/algorithms/index.html and https://github.com/igraph/igraph.
The code for NMF, SC and PCA are implemented by in a python package named sklearn. https://github.com/scikit-learn/scikit-learn.
The code for Deepwalk and Node2vec are available at: https://github.com/shenweichen/GraphEmbedding.
Edmot: https://github.com/benedekrozemberczki/EdMot.
CDME: https://github.com/sunwww168/CDME.
The experimental data for the remaining unmentioned algorithms are based on the paper for the reasons already stated in the paper.
Gephi: https://gephi.org/.