Showing 1–20 of 27 results
/ Date/ Name
Nov 19, 2019Volenti non fit injuria: Ransomware and its VictimsAug 19, 2019A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian ApproximationAug 2, 2018RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online AdvertisingMay 17, 2021Understanding the Performance of Knowledge Graph Embeddings in Drug DiscoveryJun 19, 2018Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical StudyOct 19, 2020Neuronal graphs: a graph theory primer for microscopic, functional networks of neurons recorded by Calcium imagingDec 13, 2021Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge GraphsNov 20, 2018Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation LearningJan 15, 2019Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP ClassificationApr 24, 2019Latent Variable Session-Based RecommendationAug 21, 2019Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph ConvolutionsSep 6, 2024The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion ModelsOct 2, 2019Reconsidering Analytical Variational Bounds for Output Layers of Deep NetworksApr 10, 2019Causal Embeddings for Recommendation: An Extended AbstractMay 10, 2018On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural NetworksJun 23, 2017Causal Embeddings for RecommendationFeb 19, 2021A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph PerspectiveSep 10, 2020Rank over Class: The Untapped Potential of Ranking in Natural Language ProcessingNov 4, 2021A Unified View of Relational Deep Learning for Drug Pair ScoringMay 20, 2021A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets