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1. The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models

2. Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs

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3. A Unified View of Relational Deep Learning for Drug Pair Scoring

4. Stratified analyses refine association between TLR7 rare variants and severe COVID-19

5. eQTLs identify regulatory networks and drivers of variation in the individual response to sepsis

6. A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets

7. Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery

8. A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective

9. The impact of viral mutations on recognition by SARS-CoV-2 specific T cells

10. Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks

11. Neuronal graphs: a graph theory primer for microscopic, functional networks of neurons recorded by Calcium imaging

12. Rank over Class: The Untapped Potential of Ranking in Natural Language Processing

13. BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals

14. Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI

15. Camera Bias in a Fine Grained Classification Task

16. Volenti non fit injuria: Ransomware and its Victims

17. Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks

18. Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions

19. A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation

20. Latent Variable Session-Based Recommendation

21. Causal Embeddings for Recommendation: An Extended Abstract

22. Investigation of hospital discharge cases and SARS-CoV-2 introduction into Lothian care homes

23. Advances in learning and understanding with graphs through machine learning

24. Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

25. Predicting the Computational Cost of Deep Learning Models

26. Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning

27. Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments

28. Style Augmentation: Data Augmentation via Style Randomization

29. RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

30. Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study

31. On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks

32. Causal Embeddings for Recommendation

33. Hospital admission and emergency care attendance risk for SARS-CoV-2 delta (B.1.617.2) compared with alpha (B.1.1.7) variants of concern: a cohort study

34. The impact of viral mutations on recognition by SARS-CoV-2 specific T cells

35. Recurrent emergence of SARS-CoV-2 spike deletion H69/V70 and its role in the Alpha variant B.1.1.7

36. Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7: an ecological study

37. Biomarker-guided antibiotic stewardship in suspected ventilator-associated pneumonia (VAPrapid2): a randomised controlled trial and process evaluation

38. An Intentional Aconite Overdose: A Case Report

42. Investigation of hospital discharge cases and SARS-CoV-2 introduction into Lothian care homes

43. A second update on mapping the human genetic architecture of COVID-19

44. Genomic assessment of quarantine measures to prevent SARS-CoV-2 importation and transmission

48. Genomic epidemiology of SARS-CoV-2 in a university outbreak setting and implications for public health planning

49. A Unified View of Relational Deep Learning for Drug Pair Scoring

50. COVID-19 due to the B.1.617.2 (Delta) variant compared to B.1.1.7 (Alpha) variant of SARS-CoV-2: a prospective observational cohort study