Preprint
Aug 2026
Aligning Biomedical Texts and Knowledge Graphs: A Systematic Comparison of Lightweight Alignment Strategies
It is found that the triple composition and the training direction have the greatest impact, whereas the text encoder and hard-negatives sampling matter little and simple choices win: projecting text into the KG space with a linear head over concatenated subject, predicate, and object embeddings performs best.
Artem Bisliouk, E. Nosova, Heiko Paulheim et al.
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