https://github.com/AnryYang/M-NMF

code for M-NMF: Community Preserving Network Embedding. Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang. AAAI 2017
https://github.com/AnryYang/M-NMF

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code for M-NMF: Community Preserving Network Embedding. Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang. AAAI 2017

• Host: GitHub
• URL: https://github.com/AnryYang/M-NMF
• Owner: AnryYang
• Created: 2017-08-01T08:06:57.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-08-01T08:08:08.000Z (over 7 years ago)
• Last Synced: 2024-08-01T17:36:03.051Z (4 months ago)
• Language: Matlab
• Size: 1000 Bytes
• Stars: 4
• Watchers: 3
• Forks: 5
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-community-detection - [Matlab Reference

README

        
run `MNMF.m` with matlab

```

function [U, M, H, C, L] = MNMF(S, M, U, H, C, B1, B2, alpha, beta, lambda)

% The demo is written by Xiao Wang ([email protected]), and the details of the algorithm can be

% found in "Community Preserving Network Embedding" (AAAI 2017).

%%--------------input-----------------

% S: S1+5*S2, the first- and second-order proximities (n-by-n);

% M: the initialized basis matrix (n-by-m);

% U: the initialized representations of nodes (n-by-m);

% H: the initialized community indicator matrix (n-by-k);

% C: the initialized representations of communities (k-by-m);

% B1: the adjacency matrix B1(i,i)=0 (n-by-n);

% B2: (k_i*k_j)/2e (n-by-n);

% alpha, beta, lambda: the values of parameters, usually alpha and beta need to be tuned and we can set lambada = 1e9;

%%-------------output------------------

% U: the optimal representations of nodes;

% M: the optimal basis matrix;

% H: the optimal community indicator matrix;

% C: the optimal representations of communities;

% L: the final values of objective function.

%%-------------------------------------

```