U Kang, Ph.D.
Affiliations: | 2012 | Carnegie Mellon University, Pittsburgh, PA |
Area:
Computer ScienceGoogle:
"U Kang"Parents
Sign in to add mentor| Christos Faloutsos | grad student | 2012 | Carnegie Mellon | |
| (Mining Tera-Scale Graphs: Theory, Engineering and Discoveries.) | ||||
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Publications
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| Shim S, Kim J, Park K, et al. (2024) Accurate graph classification via two-staged contrastive curriculum learning. Plos One. 19: e0296171 |
| Jung J, Yoo J, Kang U. (2022) Signed random walk diffusion for effective representation learning in signed graphs. Plos One. 17: e0265001 |
| Park HM, Park N, Myaeng SH, et al. (2020) PACC: Large scale connected component computation on Hadoop and Spark. Plos One. 15: e0229936 |
| Park C, Park HM, Kang U. (2020) FlexGraph: Flexible partitioning and storage for scalable graph mining. Plos One. 15: e0227032 |
| Jung J, Jin W, Park H, et al. (2020) Accurate relational reasoning in edge-labeled graphs by multi-labeled random walk with restart World Wide Web |
| Jung J, Jin W, Kang U. (2020) Random walk-based ranking in signed social networks: model and algorithms Knowledge and Information Systems. 62: 571-610 |
| Choi D, Jang JG, Kang U. (2019) S3CMTF: Fast, accurate, and scalable method for incomplete coupled matrix-tensor factorization. Plos One. 14: e0217316 |
| Jin W, Jung J, Kang U. (2019) Supervised and extended restart in random walks for ranking and link prediction in networks. Plos One. 14: e0213857 |
| Oh S, Park N, Jang J, et al. (2019) High-Performance Tucker Factorization on Heterogeneous Platforms Ieee Transactions On Parallel and Distributed Systems. 30: 2237-2248 |
| Jung M, Lim Y, Lee S, et al. (2019) FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams. Data Mining and Knowledge Discovery. 33: 1225-1253 |