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Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions
Knowledge graph embeddings (KGE) have been validated as powerful methods for inferring missing links in knowledge graphs (KGs) that they typically map entities into Euclidean space and treat relations as transformations of entities.
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