Artificial Intelligence #knowledge graphs#foundation models
Boosting Knowledge Graph Foundation Models via Enhanced Negative Sampling
Researchers propose KMAS, an adaptive negative sampling approach that enhances knowledge graph foundation models (KGFMs) by generating hard negative triples from relation embeddings. The method dynamically adjusts the ratio of hard negatives during training, improving performance across 44 datasets without significant extra time or memory.
Jun 16, 2026 2 sources