Papers with COSIGN

1 papers
COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion (2024.naacl-long)

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Challenge: Existing methods for knowledge graph completion (KGC) are limited in generality and scalability due to poor contextual facts.
Approach: They propose a contextual facts collector and contextual facts organizer to enhance the inference ability of GM-based methods for various KGC tasks.
Outcome: The proposed model outperforms state-of-the-art methods in terms of performance.

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