Article

Tuning Knowledge Graph Embeddings in Clustering with LISE

2025-12-15

Abstract excerpt

<title>Abstract</title> <p>Background: Knowledge Graph Embeddings are increasingly used in biomedical informatics to support similarity assessment, clustering, and knowledge discovery. Despite strong performance in link prediction, recent studies show that numerical proximity in embedding spaces does not always reflect meaningful semantic similarity. LISE, a logic-based interactive similarity explainer, was intro...

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Literature Corpus work: dbf2f31e-fb4b-52c7-b81c-c7c3577f71f5
DOI: 10.21203/rs.3.rs-8250999/v1

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