| R-MAT: A recursive model for graph mining D Chakrabarti, Y Zhan, C Faloutsos Proceedings of the 2004 SIAM International Conference on Data Mining, 442-446, 2004 | 1646 | 2004 |
| Kronecker graphs: an approach to modeling networks. J Leskovec, D Chakrabarti, J Kleinberg, C Faloutsos, Z Ghahramani Journal of Machine Learning Research 11 (2), 2010 | 1326 | 2010 |
| Epidemic spreading in real networks: An eigenvalue viewpoint Y Wang, D Chakrabarti, C Wang, C Faloutsos 22nd International Symposium on Reliable Distributed Systems, 2003 …, 2003 | 1132 | 2003 |
| Evolutionary clustering D Chakrabarti, R Kumar, A Tomkins Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 908 | 2006 |
| Epidemic thresholds in real networks D Chakrabarti, Y Wang, C Wang, J Leskovec, C Faloutsos ACM Transactions on Information and System Security (TISSEC) 10 (4), 1-26, 2008 | 907 | 2008 |
| Graph mining: Laws, generators, and algorithms D Chakrabarti, C Faloutsos ACM computing surveys (CSUR) 38 (1), 2-es, 2006 | 904 | 2006 |
| Realistic, mathematically tractable graph generation and evolution, using kronecker multiplication J Leskovec, D Chakrabarti, J Kleinberg, C Faloutsos European conference on principles of data mining and knowledge discovery …, 2005 | 530 | 2005 |
| Neighborhood formation and anomaly detection in bipartite graphs J Sun, H Qu, D Chakrabarti, C Faloutsos Fifth IEEE international conference on data mining (ICDM'05), 8 pp., 2005 | 484 | 2005 |
| Event summarization using tweets D Chakrabarti, K Punera Proceedings of the International AAAI Conference on Web and Social Media 5 …, 2011 | 445 | 2011 |
| Fully automatic cross-associations D Chakrabarti, S Papadimitriou, DS Modha, C Faloutsos Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 399 | 2004 |
| Threshold conditions for arbitrary cascade models on arbitrary networks BA Prakash, D Chakrabarti, NC Valler, M Faloutsos, C Faloutsos Knowledge and information systems 33, 549-575, 2012 | 290 | 2012 |
| Using EM to learn 3D models of indoor environments with mobile robots Y Liu, R Emery, D Chakrabarti, W Burgard, S Thrun ICML 1, 329-336, 2001 | 268 | 2001 |
| Autopart: Parameter-free graph partitioning and outlier detection D Chakrabarti European conference on principles of data mining and knowledge discovery …, 2004 | 264 | 2004 |
| Multi-armed bandit problems with dependent arms S Pandey, D Chakrabarti, D Agarwal Proceedings of the 24th international conference on Machine learning, 721-728, 2007 | 236 | 2007 |
| Mortal multi-armed bandits D Chakrabarti, R Kumar, F Radlinski, E Upfal Advances in neural information processing systems 21, 2008 | 214 | 2008 |
| Contextual advertising by combining relevance with click feedback D Chakrabarti, D Agarwal, V Josifovski Proceedings of the 17th international conference on World Wide Web, 417-426, 2008 | 207 | 2008 |
| A real-time expectation-maximization algorithm for acquiring multiplanar maps of indoor environments with mobile robots S Thrun, C Martin, Y Liu, D Hahnel, R Emery-Montemerlo, D Chakrabarti, ... IEEE Transactions on Robotics and Automation 20 (3), 433-443, 2004 | 202 | 2004 |
| Nonparametric link prediction in dynamic networks P Sarkar, D Chakrabarti, M Jordan arXiv preprint arXiv:1206.6394, 2012 | 184 | 2012 |
| A graph-theoretic approach to webpage segmentation D Chakrabarti, R Kumar, K Punera Proceedings of the 17th international conference on World Wide Web, 377-386, 2008 | 180 | 2008 |
| Bandits for taxonomies: A model-based approach S Pandey, D Agarwal, D Chakrabarti, V Josifovski Proceedings of the 2007 SIAM international conference on data mining, 216-227, 2007 | 146 | 2007 |
Christos FaloutsosCMUVerified email at cs.cmu.edu
