Papers with Inferring missing links in knowledge graphs

1 papers
Variational Knowledge Graph Reasoning (N18-1)

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Challenge: Existing knowledge graphs have large amount of missing links, which limits their application . a recent study has proposed to design an automated inference model to complete the missing links in large knowledge graph.
Approach: They propose to use variation inference to solve missing links in knowledge graphs . they use a posterior approximator, prior (path finder) and likelihood (path reasoner)
Outcome: The proposed model achieves state-of-the-art on multiple datasets and is highly accurate.

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