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12/13/2021
Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs
Improving on the standard of care for diseases is predicated on better t...
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11/04/2021
A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Synergy, and Drug-Drug Interaction Prediction
In recent years, numerous machine learning models which attempt to solve...
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05/20/2021
Predicting Potential Drug Targets Using Tensor Factorisation and Knowledge Graph Embeddings
The drug discovery and development process is a long and expensive one, ...
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05/17/2021
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery
Knowledge Graphs (KG) and associated Knowledge Graph Embedding (KGE) mod...
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02/19/2021
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
Drug discovery and development is an extremely complex process, with hig...
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10/23/2020
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks
With the growing significance of graphs as an effective representation o...
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09/10/2020
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing
Text classification has long been a staple in natural language processin...
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08/28/2020
BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals
A common task for recommender systems is to build a pro le of the intere...
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07/16/2020
Camera Bias in a Fine Grained Classification Task
We show that correlations between the camera used to acquire an image an...
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11/19/2019
Volenti non fit injuria: Ransomware and its Victims
With the recent growth in the number of malicious activities on the inte...
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10/02/2019
Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks
The combination of the re-parameterization trick with the use of variati...
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08/19/2019
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
Newly emerging variants of ransomware pose an ever-growing threat to com...
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04/24/2019
Latent Variable Session-Based Recommendation
Session based recommendation provides an attractive alternative to the t...
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04/10/2019
Causal Embeddings for Recommendation: An Extended Abstract
Recommendations are commonly used to modify user's natural behavior, for...
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11/28/2018
Predicting the Computational Cost of Deep Learning Models
Deep learning is rapidly becoming a go-to tool for many artificial intel...
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11/20/2018
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
Graphs are a commonly used construct for representing relationships betw...
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10/19/2018
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments
High Throughput Computing (HTC) provides a convenient mechanism for runn...
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09/14/2018
Style Augmentation: Data Augmentation via Style Randomization
We introduce style augmentation, a new form of data augmentation based o...
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08/02/2018
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
Recommender Systems are becoming ubiquitous in many settings and take ma...
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06/19/2018
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study
Graph embeddings have become a key and widely used technique within the ...
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05/10/2018
