Understanding the performance of knowledge graph embeddings in drug discovery

Understanding the performance of knowledge graph embeddings in drug discovery

Knowledge Graphs (KG) and associated Knowledge Graph Embedding (KGE) models have recently begun to be explored in the context of drug discovery and have the potential to assist in key challenges such as target identification. In the drug discovery domain, KGs can be employed as part of a process whi...

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Bibliographic Details
Main Authors: Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, Charles Tapley Hoyt, William L. Hamilton
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Artificial Intelligence in the Life Sciences
Subjects:
Drug discovery
Knowledge graph embedding
Knowledge grahps
Online Access:http://www.sciencedirect.com/science/article/pii/S2667318522000071

Internet

http://www.sciencedirect.com/science/article/pii/S2667318522000071

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