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Research questionHow can knowledge graph embeddings model valid inference patterns without over-generalizing from sparse evidence?Knowledge graph embeddings can learn symmetry, inversion, composition, and related patterns from a few triples, but may incorrectly apply those patterns to every related instance. This pattern over-generalization produces false link predictions.
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Machine Learning
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Latest papersRecent research connected to this question, newest first.Pattern Over-Generalization of Knowledge Graph EmbeddingApplies to knowledge graph embedding models for link prediction. The source analyzes pattern over-generalization theoretically, proposes dense linear transformations with compound relation operations, and reports results on three standard benchmark datasets; its evidence concerns the reported model and experiments rather than all knowledge graph systems.research paper · Sep 3, 2026
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