| Defining and evaluating network communities based on ground-truth J Yang, J Leskovec 2012 IEEE 12th International Conference on Data Mining (ICDM), 745-754, 2012 | 2659 | 2012 |
| Patterns of temporal variation in online media J Yang, J Leskovec Proceedings of the fourth ACM international conference on Web search and …, 2011 | 1354 | 2011 |
| Overlapping community detection at scale: a nonnegative matrix factorization approach J Yang, J Leskovec Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 1138 | 2013 |
| Community detection in networks with node attributes J Yang, J McAuley, J Leskovec 2013 IEEE 13th international conference on data mining, 1151-1156, 2013 | 1115 | 2013 |
| Modeling information diffusion in implicit networks J Yang, J Leskovec 2010 IEEE international conference on data mining, 599-608, 2010 | 797 | 2010 |
| Community-affiliation graph model for overlapping network community detection J Yang, J Leskovec 2012 IEEE 12th International Conference on Data Mining (ICDM), 1170-1175, 2012 | 404 | 2012 |
| Overlapping communities explain core–periphery organization of networks J Yang, J Leskovec Proceedings of the IEEE 102 (12), 1892-1902, 2014 | 208 | 2014 |
| Structure and overlaps of ground-truth communities in networks J Yang, J Leskovec ACM Transactions on Intelligent Systems and Technology (TIST) 5 (2), 1-35, 2014 | 143 | 2014 |
| Information cartography: creating zoomable, large-scale maps of information D Shahaf, J Yang, C Suen, J Jacobs, H Wang, J Leskovec Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 128 | 2013 |
| Detecting cohesive and 2-mode communities indirected and undirected networks J Yang, J McAuley, J Leskovec Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 101 | 2014 |
| NEMO: Next career move prediction with contextual embedding L Li, H Jing, H Tong, J Yang, Q He, BC Chen Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 100 | 2017 |
| Finding progression stages in time-evolving event sequences J Yang, J McAuley, J Leskovec, P LePendu, N Shah Proceedings of the 23rd international conference on World wide web, 783-794, 2014 | 99 | 2014 |
| Structure and overlaps of communities in networks J Yang, J Leskovec arXiv preprint arXiv:1205.6228, 2012 | 84 | 2012 |
| Personalizing linkedin feed D Agarwal, BC Chen, Q He, Z Hua, G Lebanon, Y Ma, P Shivaswamy, ... Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 59 | 2015 |
| Performance-adaptive sampling strategy towards fast and accurate graph neural networks M Yoon, T Gervet, B Shi, S Niu, Q He, J Yang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 42 | 2021 |
| Deep job understanding at linkedin S Li, B Shi, J Yang, J Yan, S Wang, F Chen, Q He Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 42 | 2020 |
| Constructing knowledge graph for social networks in a deep and holistic way Q He, J Yang, B Shi Companion Proceedings of the Web Conference 2020, 307-308, 2020 | 34 | 2020 |
| Salience and market-aware skill extraction for job targeting B Shi, J Yang, F Guo, Q He Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 31 | 2020 |
| Social skill validation at LinkedIn X Yan, J Yang, M Obukhov, L Zhu, J Bai, S Wu, Q He Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 25 | 2019 |
| Large language models for social networks: Applications, challenges, and solutions J Zeng, R Huang, W Malik, L Yin, B Babic, D Shacham, X Yan, J Yang, ... arXiv preprint arXiv:2401.02575, 2024 | 17 | 2024 |
Jure LeskovecProfessor of Computer Science, Stanford UniversityCorreu electrònic verificat a cs.stanford.edu