Disease ontologies for knowledge graphs. - Natalja Kurbatova; Rowan Swiers (BMC Bioinform., 2021)

A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective. - Stephen Bonner; Ian P. Barrett; Cheng Ye 002; Rowan Swiers; Ola Engkvist; Andreas Bender 002; William L. Hamilton (CoRR, 2021)

Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery. - Stephen Bonner; Ian P. Barrett; Cheng Ye 002; Rowan Swiers; Ola Engkvist; William L. Hamilton (CoRR, 2021)

Predicting Potential Drug Targets Using Tensor Factorisation and Knowledge Graph Embeddings. - Cheng Ye 002; Rowan Swiers; Stephen Bonner; Ian P. Barrett (CoRR, 2021)

A review of biomedical datasets relating to drug discovery: a knowledge graph perspective. - Stephen Bonner; Ian P. Barrett; Cheng Ye 002; Rowan Swiers; Ola Engkvist; Andreas Bender 002; Charles Tapley Hoyt; William L. Hamilton (Briefings Bioinform., 2022)

A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets. - Cheng Ye 002; Rowan Swiers; Stephen Bonner; Ian P. Barrett (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Designing an Interpretable Interface for Contextual Bandits. - Andrew Maher; Matia Gobbo; Lancelot Lachartre; Subash Prabanantham; Rowan Swiers; Puli Liyanagama (IntRS@RecSys, 2024)

Batched Online Contextual Sparse Bandits with Sequential Inclusion of Features. - Rowan Swiers; Subash Prabanantham; Andrew Maher (CoRR, 2024)