| node2vec: Scalable feature learning for networks A Grover, J Leskovec Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016 | 4797 | 2016 |
| Inductive representation learning on large graphs WL Hamilton, R Ying, J Leskovec arXiv preprint arXiv:1706.02216, 2017 | 3142 | 2017 |
| Friendship and mobility: user movement in location-based social networks E Cho, SA Myers, J Leskovec Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 2780 | 2011 |
| Graphs over time: densification laws, shrinking diameters and possible explanations J Leskovec, J Kleinberg, C Faloutsos Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 2671 | 2005 |
| The dynamics of viral marketing J Leskovec, LA Adamic, BA Huberman ACM Transactions on the Web (TWEB) 1 (1), 5-es, 2007 | 2669 | 2007 |
| SNAP Datasets: Stanford large network dataset collection J Leskovec, A Krevl | 2553 | 2014 |
| Graph evolution: Densification and shrinking diameters J Leskovec, J Kleinberg, C Faloutsos ACM transactions on Knowledge Discovery from Data (TKDD) 1 (1), 2-es, 2007 | 2442 | 2007 |
| Cost-effective outbreak detection in networks J Leskovec, A Krause, C Guestrin, C Faloutsos, J VanBriesen, N Glance Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 2407 | 2007 |
| Mining of massive data sets J Leskovec, A Rajaraman, JD Ullman Cambridge university press, 2020 | 1839 | 2020 |
| Community structure in large networks: Natural cluster sizes and the absence of large well-defined clusters J Leskovec, KJ Lang, A Dasgupta, MW Mahoney Internet Mathematics 6 (1), 29-123, 2009 | 1821 | 2009 |
| Meme-tracking and the dynamics of the news cycle J Leskovec, L Backstrom, J Kleinberg Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 1803 | 2009 |
| Defining and evaluating network communities based on ground-truth J Yang, J Leskovec Knowledge and Information Systems 42 (1), 181-213, 2015 | 1740 | 2015 |
| Learning to discover social circles in ego networks. JJ McAuley, J Leskovec NIPS 2012, 548-56, 2012 | 1673 | 2012 |
| Predicting positive and negative links in online social networks J Leskovec, D Huttenlocher, J Kleinberg Proceedings of the 19th international conference on World wide web, 641-650, 2010 | 1526 | 2010 |
| Hidden factors and hidden topics: understanding rating dimensions with review text J McAuley, J Leskovec Proceedings of the 7th ACM conference on Recommender systems, 165-172, 2013 | 1366 | 2013 |
| Inferring networks of diffusion and influence M Gomez-Rodriguez, J Leskovec, A Krause ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (4), 1-37, 2012 | 1335 | 2012 |
| Signed networks in social media J Leskovec, D Huttenlocher, J Kleinberg Proceedings of the SIGCHI conference on human factors in computing systems …, 2010 | 1237 | 2010 |
| Sampling from large graphs J Leskovec, C Faloutsos Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 1232 | 2006 |
| How powerful are graph neural networks? K Xu, W Hu, J Leskovec, S Jegelka arXiv preprint arXiv:1810.00826, 2018 | 1188 | 2018 |
| Supervised random walks: predicting and recommending links in social networks L Backstrom, J Leskovec Proceedings of the fourth ACM international conference on Web search and …, 2011 | 1156 | 2011 |
Christos FaloutsosCMUVerifierad e-postadress på cs.cmu.edu
