Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction.
Peyman BaghershahiReshad HosseiniHadi MoradiPublished in: CoRR (2021)
Keyphrases
- low dimensional
- link prediction
- bipartite graph
- random walk
- manifold learning
- high dimensional
- social networks
- graph mining
- dimensionality reduction
- social network analysis
- complex networks
- network structure
- network analysis
- data mining
- high dimensional data
- principal component analysis
- multi relational
- euclidean space
- topological features
- data points
- pairwise
- graph embedding
- proximity measures