Stephen Bonner

52 papers A* 3A 1B 4C 1Journal 29Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	The role of graph topology in the performance of biomedical Knowledge Graph Completion models. Bioinform. Alberto Cattaneo, Stephen Bonner, Thomas Martynec, Edward R. Morrissey, Carlo Luschi, Ian P. Barrett, Daniel Justus
2024	J	`jnl`	The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models. CoRR Alberto Cattaneo, Stephen Bonner, Thomas Martynec, Carlo Luschi, Ian P. Barrett, Daniel Justus
2022	J	`jnl`	A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets. IEEE ACM Trans. Comput. Biol. Bioinform. Cheng Ye, Rowan Swiers, Stephen Bonner, Ian P. Barrett
2022	A*	`conf`	A Unified View of Relational Deep Learning for Drug Pair Scoring. IJCAI Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov, Michaël Ughetto, Sebastian Nilsson, Eliseo Papa
2022	J	`jnl`	A review of biomedical datasets relating to drug discovery: a knowledge graph perspective. Briefings Bioinform. Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, Andreas Bender, Charles Tapley Hoyt, William L. Hamilton
2022	J	`jnl`	Implications of topological imbalance for representation learning on biomedical knowledge graphs. Briefings Bioinform. Stephen Bonner, Ufuk Kirik, Ola Engkvist, Jian Tang, Ian P. Barrett
2021	J	`jnl`	A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective. CoRR Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, Andreas Bender, William L. Hamilton
2021	J	`jnl`	A Unified View of Relational Deep Learning for Drug Pair Scoring. CoRR Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov, Michaël Ughetto, Sebastian Nilsson, Eliseo Papa
2021	B	`conf`	Camera Bias in a Fine Grained Classification Task. IJCNN Philip T. G. Jackson, Stephen Bonner, Ning Jia, Christopher J. Holder, Jonathan Stonehouse, Boguslaw Obara
2021	J	`jnl`	Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs. CoRR Stephen Bonner, Ufuk Kirik, Ola Engkvist, Jian Tang, Ian P. Barrett
2021	J	`jnl`	Predicting Potential Drug Targets Using Tensor Factorisation and Knowledge Graph Embeddings. CoRR Cheng Ye, Rowan Swiers, Stephen Bonner, Ian P. Barrett
2021	—	`conf`	Rank over Class: The Untapped Potential of Ranking in Natural Language Processing. IEEE BigData Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough
2021	J	`jnl`	Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery. CoRR Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, William L. Hamilton
2020	—	`—`	Advances in learning and understanding with graphs through machine learning. Stephen Bonner
2020	J	`jnl`	BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. CoRR Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
2020	A*	`conf`	BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. KDD Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
2020	J	`jnl`	Camera Bias in a Fine Grained Classification Task. CoRR Philip T. G. Jackson, Stephen Bonner, Ning Jia, Christopher J. Holder, Jonathan Stonehouse, Boguslaw Obara
2020	B	`conf`	Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI. ICPR Nik Khadijah Nik Aznan, Amir Atapour Abarghouei, Stephen Bonner, Jason D. Connolly, Toby P. Breckon
2020	—	`conf`	Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks. IEEE BigData John Brennan, Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, Boguslaw Obara, Andrew Stephen McGough
2020	J	`jnl`	Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks. CoRR John Brennan, Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, Boguslaw Obara, Andrew Stephen McGough
2020	J	`jnl`	Rank over Class: The Untapped Potential of Ranking in Natural Language Processing. CoRR Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough
2019	—	`conf`	A King's Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation. IEEE BigData Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough
2019	J	`jnl`	A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation. CoRR Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough
2019	A*	`conf`	Causal Embeddings for Recommendation: An Extended Abstract. IJCAI Flavian Vasile, Stephen Bonner
2019	J	`jnl`	Causal Embeddings for Recommendation: An Extended Abstract. CoRR Stephen Bonner, Flavian Vasile
2019	C	`conf`	Coarse Annotation Refinement for Segmentation of Dot-Matrix Batchcodes. ICMLA Ning Jia, Christopher J. Holder, Stephen Bonner, Boguslaw Obara
2019	J	`jnl`	Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study. Data Sci. Eng. Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2019	J	`jnl`	Latent Variable Session-Based Recommendation. CoRR David Rohde, Stephen Bonner
2019	J	`jnl`	Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks. CoRR Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
2019	B	`conf`	Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification. IJCNN Nik Khadijah Nik Aznan, Amir Atapour Abarghouei, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2019	—	`conf`	Style Augmentation: Data Augmentation via Style Randomization. CVPR Workshops Philip T. G. Jackson, Amir Atapour Abarghouei, Stephen Bonner, Toby P. Breckon, Boguslaw Obara
2019	—	`conf`	Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. IEEE BigData Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2019	J	`jnl`	Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. CoRR Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2019	—	`conf`	Volenti non fit injuria: Ransomware and its Victims. IEEE BigData Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough
2019	J	`jnl`	Volenti non fit injuria: Ransomware and its Victims. CoRR Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough
2018	A	`conf`	Causal embeddings for recommendation. RecSys Stephen Bonner, Flavian Vasile
2018	J	`jnl`	Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study. CoRR Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2018	B	`conf`	On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. SMC Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2018	J	`jnl`	On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. CoRR Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2018	—	`conf`	Predicting the Computational Cost of Deep Learning Models. IEEE BigData Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough
2018	J	`jnl`	Predicting the Computational Cost of Deep Learning Models. CoRR Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough
2018	J	`jnl`	RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising. CoRR David Rohde, Stephen Bonner, Travis Dunlop, Flavian Vasile, Alexandros Karatzoglou
2018	J	`jnl`	Style Augmentation: Data Augmentation via Style Randomization. CoRR Philip T. G. Jackson, Amir Atapour Abarghouei, Stephen Bonner, Toby P. Breckon, Boguslaw Obara
2018	—	`conf`	Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning. IEEE BigData Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2018	J	`jnl`	Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning. CoRR Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2018	—	`conf`	Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. IGSC A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
2018	J	`jnl`	Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. CoRR A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
2017	J	`jnl`	Causal Embeddings for Recommendation. CoRR Stephen Bonner, Flavian Vasile
2017	—	`conf`	Evaluating the quality of graph embeddings via topological feature reconstruction. IEEE BigData Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2016	—	`conf`	Deep topology classification: A new approach for massive graph classification. IEEE BigData Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough
2016	—	`conf`	GFP-X: A parallel approach to massive graph comparison using spark. IEEE BigData Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough
2015	—	`conf`	Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain. IEEE BigData Stephen Bonner, Andrew Stephen McGough, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Laura Moss, David Corsar, Grigoris Antoniou