Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality

Authors: Southern, Joshua, Eitan, Yam, Bar-Shalom, Guy, Bronstein, Michael, Maron, Haggai, Frasca, Fabrizio

Subject Terms: Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing

Access URL: http://arxiv.org/abs/2501.03113

The Helicobacter pylori AI-Clinician: Harnessing Artificial Intelligence to Personalize H. pylori Treatment Recommendations

Authors: Higgins, Kyle, Nyssen, Olga P., Southern, Joshua, Laponogov, Ivan, CONSORTIUM, AIDA, Veselkov, Dennis, Gisbert, Javier P., Kanonnikoff, Tania Fleitas, Veselkov, Kirill

Subject Terms: Quantitative Biology - Quantitative Methods, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2412.06841

Understanding Virtual Nodes: Oversquashing and Node Heterogeneity

Authors: Southern, Joshua, Di Giovanni, Francesco, Bronstein, Michael, Lutzeyer, Johannes F.

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2405.13526

Curvature Filtrations for Graph Generative Model Evaluation

Authors: Southern, Joshua, Wayland, Jeremy, Bronstein, Michael, Rieck, Bastian

Subject Terms: Computer Science - Machine Learning, Mathematics - Algebraic Topology, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2301.12906

Exploring “dark-matter” protein folds using deep learning

Authors: Harteveld, Zander ^{1, 2, 6}, Van Hall-Beauvais, Alexandra ^{1, 2, 6}, Morozova, Irina ¹, Southern, Joshua ³, Goverde, Casper ^{1, 2}, Georgeon, Sandrine ¹, Rosset, Stéphane ¹, Defferrard, Michëal ¹, Loukas, Andreas ^{1, 5}, Vandergheynst, Pierre ¹, Bronstein, Michael M. ⁴, Correia, Bruno E. ^{1, 2, 7, ∗}

Source: In Cell Systems 16 October 2024 15(10):898-910

End-To-End Prediction of Emotion from Heartbeat Data Collected by a Consumer Fitness Tracker

Authors: Harper, Ross, Southern, Joshua

Source: 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII) Affective Computing and Intelligent Interaction (ACII), 2019 8th International Conference on. :1-7 Sep, 2019

Relation: 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)

A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion from Heartbeat

Authors: Harper, Ross, Southern, Joshua

Subject Terms: Computer Science - Machine Learning, Computer Science - Human-Computer Interaction, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1902.03043

Genomic-driven nutritional interventions for radiotherapy-resistant rectal cancer patient.

Authors: Southern, Joshua¹ (AUTHOR), Gonzalez, Guadalupe^1,2 (AUTHOR), Borgas, Pia³ (AUTHOR), Poynter, Liam⁴ (AUTHOR), Laponogov, Ivan⁴ (AUTHOR), Zhong, Yoyo⁴ (AUTHOR), Mirnezami, Reza⁵ (AUTHOR), Veselkov, Dennis¹ (AUTHOR), Bronstein, Michael⁶ (AUTHOR), Veselkov, Kirill^2,7 (AUTHOR) kirill.veselkov04@imperial.ac.uk

Source: Scientific Reports. 11/18/2023, Vol. 13 Issue 1, p1-9. 9p.

Subject Terms: *RECTAL cancer, *CANCER patients, *CANCER prognosis, *INGREDIENT substitutions (Cooking), *CELL metabolism

Optimizing Ingredient Substitution Using Large Language Models to Enhance Phytochemical Content in Recipes.

Authors: Rita, Luís¹, l.rita19@imperial.ac.uk, Southern, Joshua², joshua.southern17@imperial.ac.uk, Laponogov, Ivan¹, i.laponogov@imperial.ac.uk, Higgins, Kyle^1,3, kyle.higgins@childrens.harvard.edu, Veselkov, Kirill^1,4, kirill.veselkov04@imperial.ac.uk

Source: Machine Learning & Knowledge Extraction; Dec2024, Vol. 6 Issue 4, p2738-2752, 15p

Deep learning to detect macular atrophy in wet age-related macular degeneration using optical coherence tomography.

Authors: Wei, Wei^1,2,3 (AUTHOR), Southern, Joshua⁴ (AUTHOR), Zhu, Kexuan² (AUTHOR), Li, Yefeng⁵ (AUTHOR), Cordeiro, Maria Francesca^1,3 (AUTHOR) m.cordeiro@imperial.ac.uk, Veselkov, Kirill¹ (AUTHOR) kirill.veselkov04@imperial.ac.uk

Source: Scientific Reports. 5/22/2023, Vol. 13 Issue 1, p1-10. 10p.

Subject Terms: *MACULAR degeneration, *OPTICAL coherence tomography, *CONVOLUTIONAL neural networks, *DEEP learning, *CLINICAL decision support systems, *ATROPHY, *LOW vision

IDENTIFYING NUTRITIONAL AND PHARMACOLOGICAL TARGETS FOR ALLEVIATING POLYCYSTIC OVARY SYNDROME USING GENOMIC-DRIVEN MACHINE LEARNING

Authors: Hanassab, Simon, Southern, Joshua, Olabode, Ayomide Victoria, Heinis, Thomas, Abbara, Ali, Izzi-Engbeaya, Chioma, Veselkov, Kirill, Dhillo, Waljit S.

Source: In Fertility and Sterility October 2024 122(4) Supplement:e414-e414

Selecting a building system component

Beyoncé's snub by the country club 'shows the US is still racist'

Authors: Keiran Southern ; Joshua Thurston

Source: Times, The (United Kingdom). 09/11/2024, p3-3. 1.

A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion From Heartbeat.

Authors: Harper, Ross, Southern, Joshua

Source: IEEE Transactions on Affective Computing; Apr-Jun2022, Vol. 13 Issue 2, p985-991, 7p

Spears accuses family of 'killing her' with conservatorship

Authors: Keiran Southern ;Joshua Thurston

Source: Times, The (United Kingdom). 08/30/2022, p3-3. 1.

Drought exposes a monster's footprints

Authors: Keiran Southern;Joshua Thurston

Source: Times, The (United Kingdom). 08/25/2022, p32-32. 1.

Mansions burnt down as first fires strike California

Authors: Keiran Southern ; Joshua Thurston

Source: Times, The (United Kingdom). 05/13/2022, p28,29-28,29. 1.