143 citations · 223 across the 3 of their papers we have counts for
3 papers
q-bio.QM2021★ 14 cited
A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets
Cheng Ye, Rowan Swiers, Stephen Bonner +1
The drug discovery and development process is a long and expensive one, costing over 1 billion USD on average per drug and taking 10-15 years. To reduce the high levels of attritio…
q-bio.BM2021★ 66 cited
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery
Stephen Bonner, Ian P Barrett, Cheng Ye +4
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…
cs.AI2021★ 143 cited
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
Stephen Bonner, Ian P Barrett, Cheng Ye +5
Drug discovery and development is a complex and costly process. Machine learning approaches are being investigated to help improve the effectiveness and speed of multiple stages of…