Meta-graph Embedding in Heterogeneous Information Network for Top-N Recommendation.
Lin BaiChengye CaiJie LiuDan YePublished in: IJCNN (2021)
Keyphrases
- graph embedding
- heterogeneous information networks
- information networks
- typed objects
- heterogeneous networks
- discriminant analysis
- semi supervised
- low dimensional
- multiple types
- dimensionality reduction
- data representation
- label information
- graph structure
- dictionary learning
- network analysis
- random walk
- prior knowledge
- real world
- data objects
- link prediction
- data sets
- feature representation
- social network analysis
- subspace learning
- principal component analysis
- high dimensional