Urmăriți
U Kang
U Kang
Professor of Computer Science and Engineering, Seoul National University
Adresă de e-mail confirmată pe snu.ac.kr - Pagina de pornire
Titlu
Citat de
Citat de
Anul
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
9622009
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
4352009
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
3642012
VoG: Summarizing and Understanding Large Graphs
D Koutra, U Kang, J Vreeken, C Faloutsos
SIAM International Conference on Data Mining, 2014
277*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
218*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
2012011
Pegasus: mining peta-scale graphs
U Kang, CE Tsourakakis, C Faloutsos
Knowledge and information systems 27, 303-325, 2011
2002011
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
1862014
Haten2: Billion-scale tensor decompositions
I Jeon, EE Papalexakis, U Kang, C Faloutsos
2015 IEEE 31st international conference on data engineering, 1047-1058, 2015
1802015
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
1752011
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
1682018
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
1662011
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
1622011
Fast Random Walk Graph Kernel
U Kang, H Tong, J Sun
SIAM International Conference on Data Mining, April 26-28, 2012, Anaheim …, 2012
1582012
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
1542011
Accurate multivariate stock movement prediction via data-axis transformer with multi-level contexts
J Yoo, Y Soun, Y Park, U Kang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
1402021
Knowledge extraction with no observable data
J Yoo, M Cho, T Kim, U Kang
Advances in Neural Information Processing Systems 32, 2019
1252019
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
1232015
Learning to walk across time for interpretable temporal knowledge graph completion
J Jung, J Jung, U Kang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
115*2021
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
1132011
Sistemul nu poate realiza operația în acest moment. Încercați din nou mai târziu.
Articole 1–20