Self-attention presents low-dimensional knowledge graph embeddings for link prediction.
Peyman BaghershahiReshad HosseiniHadi MoradiPublished in: Knowl. Based Syst. (2023)
Keyphrases
- low dimensional
- link prediction
- bipartite graph
- random walk
- graph mining
- social networks
- high dimensional
- social network analysis
- dimensionality reduction
- network analysis
- multi relational
- manifold learning
- link formation
- graph embedding
- community detection
- euclidean space
- high dimensional data
- principal component analysis
- graph kernels
- active learning
- entity resolution
- topological features
- pairwise
- location prediction