| 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 | 955 | 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 | 414 | 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 | 361 | 2012 |
| VoG: Summarizing and Understanding Large Graphs D Koutra, U Kang, J Vreeken, C Faloutsos SIAM International Conference on Data Mining, 2014 | 261* | 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 | 223* | 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 | 200 | 2011 |
| Pegasus: mining peta-scale graphs U Kang, CE Tsourakakis, C Faloutsos Knowledge and information systems 27, 303-325, 2011 | 199 | 2011 |
| 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 | 180 | 2014 |
| Haten2: Billion-scale tensor decompositions I Jeon, EE Papalexakis, U Kang, C Faloutsos 2015 IEEE 31st international conference on data engineering, 1047-1058, 2015 | 178 | 2015 |
| 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 | 169 | 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 | 163 | 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 | 161 | 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 | 156 | 2011 |
| 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 | 154 | 2018 |
| Fast Random Walk Graph Kernel U Kang, H Tong, J Sun SIAM International Conference on Data Mining, April 26-28, 2012, Anaheim …, 2012 | 150 | 2012 |
| 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 | 116 | 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 | 115 | 2011 |
| Knowledge extraction with no observable data J Yoo, M Cho, T Kim, U Kang Advances in Neural Information Processing Systems 32, 2019 | 105 | 2019 |
| Mapreduce triangle enumeration with guarantees HM Park, F Silvestri, U Kang, R Pagh Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 104 | 2014 |
| Bear: Block elimination approach for random walk with restart on large graphs K Shin, J Jung, S Lee, U Kang Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015 | 97 | 2015 |
Christos FaloutsosCMU在 cs.cmu.edu 的电子邮件经过验证
