2021
DOI: 10.48550/arxiv.2110.13047
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Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge Graphs

Abstract: The paper utilizes the graph embeddings generated for entities of a large biomedical database to perform link prediction to capture various new relationships among different entities. A novel node similarity measure is proposed that utilizes the graph embeddings and link prediction scores to find similarity scores among various drugs which can be used by the medical experts to recommend alternative drugs to avoid side effects from original one. Utilizing machine learning on knowledge graph for drug similarity … Show more

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