Graph regularized autoencoding-inspired non-negative matrix factorization for link prediction in complex networks using clustering information and biased random walk.
Tongfeng LiRuisheng ZhangYabing YaoYunwu LiuJun MaJianxin TangPublished in: J. Supercomput. (2024)
Keyphrases
- random walk
- link prediction
- complex networks
- network analysis
- graph clustering
- bipartite graph
- proximity measures
- biological networks
- graph mining
- directed graph
- social networks
- community detection
- link structure
- graph theory
- social and information networks
- negative matrix factorization
- social network analysis
- social graph
- document clustering
- tensor factorization
- high dimensional data
- collaborative filtering
- heterogeneous networks
- feature selection
- cluster analysis
- network structure
- information extraction
- k means