Papers with translation function

1 papers
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion (2020.coling-main)

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Challenge: Existing approaches for knowledge graph embedding have limitations in complex vector space . embeddability of one-to-many relations is not explicitly alleviated .
Approach: They propose a relation-adaptive translating embedding function that can be extended to complex vector space.
Outcome: The proposed translation function improves expressive power and alleviates embedding ambiguity problem.

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