WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations.
Mei-Neng WangZhu-Hong YouLi-Ping LiZhan-Heng ChenXue-Jun XiePublished in: ICIC (3) (2020)
Keyphrases
- matrix factorization
- collaborative filtering
- weighted graph
- low rank
- recommender systems
- nonnegative matrix factorization
- factorization methods
- missing data
- negative matrix factorization
- sparse non negative
- data sparsity
- latent factors
- factor analysis
- variational bayesian
- graph structure
- random walk
- data matrix
- stochastic gradient descent
- tensor factorization
- association rules
- personalized ranking
- item recommendation
- least squares
- sparsity constraints
- implicit feedback
- graph partitioning
- latent factor models
- genetic variation
- low rank matrix