Browsing Research Institutes and Centres by Subject "knowledge graph embeddings"
Now showing items 1-3 of 3
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Biological applications of knowledge graph embedding models
(Oxford University Press (OUP), 2020-02-17)Complex biological systems are traditionally modelled as graphs of interconnected biological entities. These graphs, i.e. biological knowledge graphs, are then processed using graph exploratory approaches to perform different ... -
Discovering protein drug targets using knowledge graph embeddings
(Oxford University Press, 2019-08-01)Motivation Computational approaches for predicting drug-target interactions (DTIs) can provide valuable insights into the drug mechanism of action. DTI predictions can help to quickly identify new promising (on-target) ... -
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 ...