Slim: Sparse linear methods for top-n recommender systems X Ning, G Karypis
Data Mining (ICDM), 2011 IEEE 11th International Conference on, 497-506, 2011
948 2011 Fism: factored item similarity models for top-n recommender systems S Kabbur, X Ning, G Karypis
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
824 2013 The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment MA Haendel, CG Chute, TD Bennett, DA Eichmann, J Guinney, WA Kibbe, ...
Journal of the American Medical Informatics Association 28 (3), 427-443, 2020
499 2020 A comprehensive survey of neighborhood-based recommendation methods X Ning, C Desrosiers, G Karypis
recommender system handbook, 2nd edition, 37-76, 2015
410 2015 Systems and methods for semi-supervised relationship extraction Y Qi, B Bai, X Ning, P Kuksa
US Patent 8,874,432, 2014
369 2014 Sparse Linear Methods with Side Information for Top-N Recommendations X Ning, G Karypis
ACM RecSys, 2012
195 2012 Object recognition system with database pruning and querying PK Baheti, A Swaminathan, SD Spindola, X Ning
US Patent App. 12/832,796, 2012
129 2012 DRKG -- drug repurposing knowledge graph for COVID-19 VN Ioannidis, X Song, S Manchanda, M Li, X Pan, D Zheng, X Ning, ...
https://github.com/gnn4dr/DRKG/blob/master/DRKG%20Drug%20Repurposing …, 2020
125 2020 Multi-task Multi-dimensional Hawkes Processes for Modeling Event Sequences D Luo, H Xu, Y Zhen, X Ning, H Zha
International Joint Conference of Artificial Intelligence, 2015
80 2015 A deep generative model for molecule optimization via one fragment modification Z Chen, MR Min, S Parthasarathy, X Ning
Nature machine intelligence 3 (12), 1040-1049, 2021
68 2021 Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems AN Nikolakopoulos, X Ning, C Desrosiers, G Karypis
Recommender systems handbook, 39-89, 2021
62 2021 Multi-assay-based structure− activity relationship models: improving structure− activity relationship models by incorporating activity information from related targets X Ning, H Rangwala, G Karypis
Journal of chemical information and modeling 49 (11), 2444-2456, 2009
58 2009 Multi-view learning via probabilistic latent semantic analysis F Zhuang, G Karypis, X Ning, Q He, Z Shi
Information Sciences 199, 20-30, 2012
51 2012 Multi-task Learning for Recommender System X Ning, G Karypis
2nd Asian Conference on Machine Learning 13, 269--284, 2010
49 2010 Multi-task Learning for Recommender Systems X Ning, G Karypis
49 2009 B Peng, Z Ren, S Parthasarathy, X Ning
IEEE Transactions on Knowledge and Data Engineering 34 (10), 4838-4853, 2021
43 2021 Trust from the past: Bayesian personalized ranking based link prediction in knowledge graphs B Zhang, S Choudhury, MA Hasan, X Ning, K Agarwal, S Purohit, ...
arXiv preprint arXiv:1601.03778, 2016
35 2016 G2 Retro as a two-step graph generative models for retrosynthesis prediction Z Chen, OR Ayinde, JR Fuchs, H Sun, X Ning
Communications Chemistry 6 (1), 102, 2023
34 2023 Grade Prediction with Temporal Course-wise Influence Z Ren, X Ning, H Rangwala
10th International Conference on Educational Data Mining, 48--55, 2017
34 2017 Improved Machine Learning Models for Predicting Selective Compounds X Ning, M Walters, George
journal of chemical informatics and modeling 52 (1), 38–50, 2011
32 2011 