| Pegasus: A peta-scale graph mining system implementation and observations U Kang, CE Tsourakakis, C Faloutsos 2009 Ninth IEEE international conference on data mining, 229-238, 2009 | 948 | 2009 |
| Doulion: counting triangles in massive graphs with a coin CE Tsourakakis, U Kang, GL Miller, C Faloutsos Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 393 | 2009 |
| GigaTensor: scaling tensor analysis up by 100 times-algorithms and discoveries U Kang, E Papalexakis, A Harpale, C Faloutsos Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 340 | 2012 |
| VoG: Summarizing and Understanding Large Graphs D Koutra, U Kang, J Vreeken, C Faloutsos SIAM International Conference on Data Mining, 2014 | 218* | 2014 |
| Clustering Very Large Multi-dimensional Datasets with MapReduce RLF Cordeiro, C Traina Jr, AJM Traina, J López, U Kang, C Faloutsos ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 690-698, 2011 | 217* | 2011 |
| Pegasus: mining peta-scale graphs U Kang, CE Tsourakakis, C Faloutsos Knowledge and information systems 27, 303-325, 2011 | 188 | 2011 |
| Centralities in Large Networks: Algorithms and Observations U Kang, S Papadimitriou, J Sun, H Tong SIAM International Conference on Data Mining, April 28-30, 2011, Mesa …, 2011 | 187 | 2011 |
| Haten2: Billion-scale tensor decompositions I Jeon, EE Papalexakis, U Kang, C Faloutsos 2015 IEEE 31st international conference on data engineering, 1047-1058, 2015 | 165 | 2015 |
| Slashburn: Graph compression and mining beyond caveman communities Y Lim, U Kang, C Faloutsos IEEE Transactions on Knowledge and Data Engineering 26 (12), 3077-3089, 2014 | 158 | 2014 |
| Beyond ‘Caveman Communities’: Hubs and Spokes for Graph Compression and Mining U Kang, C Faloutsos Data Mining (ICDM), 2011 IEEE 11th International Conference on, 300-309, 2011 | 155 | 2011 |
| Gbase: a scalable and general graph management system U Kang, H Tong, J Sun, CY Lin, C Faloutsos Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 155 | 2011 |
| Unifying guilt-by-association approaches: Theorems and fast algorithms D Koutra, TY Ke, U Kang, DH Chau, HKK Pao, C Faloutsos Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 150 | 2011 |
| Hadi: Mining radii of large graphs U Kang, CE Tsourakakis, AP Appel, C Faloutsos, J Leskovec ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (2), 1-24, 2011 | 147 | 2011 |
| Fast Random Walk Graph Kernel U Kang, H Tong, J Sun SIAM International Conference on Data Mining, April 26-28, 2012, Anaheim …, 2012 | 123 | 2012 |
| Side: representation learning in signed directed networks J Kim, H Park, JE Lee, U Kang Proceedings of the 2018 World Wide Web Conference, 509-518, 2018 | 118 | 2018 |
| Mascot: Memory-efficient and accurate sampling for counting local triangles in graph streams Y Lim, U Kang Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 112 | 2015 |
| Spectral analysis for billion-scale graphs: Discoveries and implementation U Kang, B Meeder, C Faloutsos Advances in Knowledge Discovery and Data Mining: 15th Pacific-Asia …, 2011 | 112 | 2011 |
| Mapreduce triangle enumeration with guarantees HM Park, F Silvestri, U Kang, R Pagh Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 93 | 2014 |
| Hadi: Fast diameter estimation and mining in massive graphs with hadoop U Kang, C Tsourakakis, AP Appel, C Faloutsos, J Leskovec ACM Trasactions on Knowledge Discovery from Data (TKDD) 5 (2), 8, 2008 | 90 | 2008 |
| Mining large graphs: Algorithms, inference, and discoveries U Kang, DH Chau, C Faloutsos 2011 IEEE 27th International Conference on Data Engineering, 243-254, 2011 | 85 | 2011 |
Christos FaloutsosCMUVerified email at cs.cmu.edu
