Browsing Data Science Institute (Conference Papers) by Subject "link prediction"
Now showing items 1-2 of 2
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Drug target discovery using knowledge graph embeddings
(Association for Computing Machinery, 2019-04-08)The field of drug discovery has entered a plateau stage lately. It is increasingly more expensive and time-demanding to introduce new drugs into the market. One of the main reasons is the slow progress in finding novel ... -
Link prediction using multi part embeddings
(NUI Galway, 2019-06-02)Knowledge graph embeddings models are widely used to provide scalable and efficient link prediction for knowledge graphs. They use different techniques to model embeddings interactions, where their tensor factorisation ...