A review of biomedical datasets relating to drug discovery: A knowledge graph perspective S Bonner, IP Barrett, C Ye, R Swiers, O Engkvist, A Bender, CT Hoyt, ... Briefings in Bioinformatics 23 (6), bbac404, 2022 | 100 | 2022 |
Approximate von Neumann entropy for directed graphs C Ye, RC Wilson, CH Comin, LF Costa, ER Hancock Physical Review E 89 (5), 052804, 2014 | 71 | 2014 |
Understanding the performance of knowledge graph embeddings in drug discovery S Bonner, IP Barrett, C Ye, R Swiers, O Engkvist, CT Hoyt, WL Hamilton Artificial Intelligence in the Life Sciences 2, 100036, 2022 | 62 | 2022 |
Thermodynamic characterization of networks using graph polynomials C Ye, CH Comin, TKDM Peron, FN Silva, FA Rodrigues, LF Costa, ... Physical Review E 92 (3), 032810, 2015 | 36 | 2015 |
Modular Dynamics of Financial Market Networks FN Silva, CH Comin, TK Peron, FA Rodrigues, C Ye, RC Wilson, ... arXiv preprint arXiv:1501.05040, 2015 | 32 | 2015 |
Thermodynamics of time evolving networks C Ye, A Torsello, RC Wilson, ER Hancock Graph-Based Representations in Pattern Recognition: 10th IAPR-TC-15 …, 2015 | 25 | 2015 |
Concentric network symmetry FN Silva, CH Comin, TKDM Peron, FA Rodrigues, C Ye, RC Wilson, ... Information Sciences 333, 61-80, 2016 | 18 | 2016 |
Entropy and heterogeneity measures for directed graphs C Ye, RC Wilson, CH Comin, L da F. Costa, ER Hancock Similarity-Based Pattern Recognition: Second International Workshop, SIMBAD …, 2013 | 15 | 2013 |
A knowledge graph-enhanced tensor factorisation model for discovering drug targets C Ye, R Swiers, S Bonner, I Barrett IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2022 | 12 | 2022 |
Network analysis using entropy component analysis C Ye, RC Wilson, ER Hancock Journal of Complex Networks 6 (3), 404-429, 2018 | 12 | 2018 |
Thermodynamic Analysis of Time Evolving Networks C Ye, R Wilson, L Rossi, A Torsello, E Hancock Entropy 20 (10), 759, 2018 | 10 | 2018 |
Graph characterization from entropy component analysis C Ye, RC Wilson, ER Hancock 2014 22nd International Conference on Pattern Recognition, 3845-3850, 2014 | 6 | 2014 |
A jensen-shannon divergence kernel for directed graphs C Ye, RC Wilson, ER Hancock Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2016 | 5 | 2016 |
The corrected gene proximity map for analyzing the 3D genome organization using Hi-C data C Ye, A Paccanaro, M Gerstein, KK Yan BMC bioinformatics 21, 1-18, 2020 | 3 | 2020 |
Entropic Characterization and Time Evolution of Complex Networks C Ye University of York, 2016 | 3 | 2016 |
Correlation network evolution using mean reversion autoregression C Ye, RC Wilson, ER Hancock Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2016 | 3 | 2016 |
An entropic edge assortativity measure C Ye, RC Wilson, ER Hancock Graph-Based Representations in Pattern Recognition: 10th IAPR-TC-15 …, 2015 | 3 | 2015 |
Predicting potential drug targets using tensor factorisation and knowledge graph embeddings C Ye, R Swiers, S Bonner, I Barrett arXiv preprint arXiv:2105.10578, 2021 | 2 | 2021 |
Entropic graph embedding via multivariate degree distributions C Ye, RC Wilson, ER Hancock Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2014 | 1 | 2014 |
Heterogeneity index for directed graphs C Ye, RC Wilson, ER Hancock Computer Analysis of Images and Patterns: 15th International Conference …, 2013 | 1 | 2013 |