Articles with public access mandates - U KangLearn more
Available somewhere: 8
VoG: Summarizing and Understanding Large Graphs
D Koutra, U Kang, J Vreeken, C Faloutsos
SIAM International Conference on Data Mining, 2014
Mandates: German Research Foundation
Mapreduce triangle enumeration with guarantees
HM Park, F Silvestri, U Kang, R Pagh
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
Mandates: Danish National Research Foundation, Government of Italy
Mmap: Fast billion-scale graph computation on a pc via memory mapping
Z Lin, M Kahng, KM Sabrin, DHP Chau, H Lee, U Kang
2014 IEEE International Conference on Big Data (Big Data), 159-164, 2014
Mandates: US National Institutes of Health
Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets
M Scanagatta, G Corani, M Zaffalon, J Yoo, U Kang
International Journal of Approximate Reasoning 95, 152-166, 2018
Mandates: Swiss National Science Foundation
Memory-efficient and accurate sampling for counting local triangles in graph streams: from simple to multigraphs
Y Lim, M Jung, U Kang
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (1), 1-28, 2018
Mandates: US Department of Defense
FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams
M Jung, Y Lim, S Lee, U Kang
Data Mining and Knowledge Discovery 33, 1225-1253, 2019
Mandates: US Department of Defense
Sampling subgraphs with guaranteed treewidth for accurate and efficient graphical inference
J Yoo, U Kang, M Scanagatta, G Corani, M Zaffalon
Proceedings of the 13th International Conference on Web Search and Data …, 2020
Mandates: Swiss National Science Foundation
M-Flash: fast billion-scale graph computation using a bimodal block processing model
H Gualdron, R Cordeiro, J Rodrigues, DH Chau, M Kahng, U Kang
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
Mandates: US National Science Foundation
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