A Graph Embedding Approach for Link Prediction via Triadic Closure Based Direct Aggregation and Weighted Concatenation.
Yahui ChaiXiaobin RuiJie YangPhilip S. YuZhixiao WangPublished in: DASFAA (3) (2023)
Keyphrases
- link prediction
- graph embedding
- social networks
- random walk
- social network analysis
- bipartite graph
- semi supervised
- low dimensional
- dimensionality reduction
- discriminant analysis
- complex networks
- supervised learning
- data representation
- network structure
- missing links
- dictionary learning
- subspace learning
- collaborative filtering
- pattern recognition
- active learning
- feature representation
- training data
- data sets
- natural images
- high dimensional
- data streams