AINeutralarXiv – CS AI · 15h ago6/10
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Boosting Knowledge Graph Foundation Models via Enhanced Negative Sampling
Researchers propose KMAS, an adaptive negative sampling method that enhances knowledge graph foundation models by constructing higher-quality hard negative triples and dynamically adjusting their ratio throughout training. The approach improves multiple state-of-the-art KGFMs across 44 datasets without significant computational overhead, advancing zero-shot knowledge graph completion for unseen relational vocabularies.