most citedKC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.AI2024★ 6 cited

KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion

Yilin Wang, Minghao Hu, Zhen Huang +3

The goal of knowledge graph completion (KGC) is to predict missing facts among entities. Previous methods for KGC re-ranking are mostly built on non-generative language models to o…