Collaborative linear manifold learning for link prediction in heterogeneous networks.
Jiahui LiuXu JinYuXiang HongFan LiuQiXiang ChenYalou HuangMingMing LiuMaoqiang XieFengchi SunPublished in: Inf. Sci. (2020)
Keyphrases
- heterogeneous networks
- manifold learning
- link prediction
- social networks
- random walk
- social network analysis
- nonlinear manifold
- network analysis
- low dimensional
- nonlinear dimensionality reduction
- dimensionality reduction
- semi supervised
- network structure
- high dimensional
- bipartite graph
- bipartite networks
- heterogeneous information networks
- complex networks
- dimension reduction
- feature extraction
- high dimensional data
- community detection
- sparse representation
- multiple types
- manifold structure
- supervised learning
- data mining
- collaborative filtering
- feature space
- machine learning
- text classification
- co occurrence
- pairwise