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Kyuhan Lee
Kyuhan Lee
M.S./Ph.D. Student at Graduate School of AI, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
SSumM: Sparse Summarization of Massive Graphs
K Lee, H Jo, J Ko, S Lim, K Shin
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
432020
Effective training strategies for deep-learning-based precipitation nowcasting and estimation
J Ko, K Lee, H Hwang, SG Oh, SW Son, K Shin
Computers & Geosciences 161, 105072, 2022
192022
Dpgs: Degree-preserving graph summarization
H Zhou, S Liu, K Lee, K Shin, H Shen, X Cheng
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
182021
Monstor: an inductive approach for estimating and maximizing influence over unseen networks
J Ko, K Lee, K Shin, N Park
2020 IEEE/ACM International Conference on Advances in Social Networks …, 2020
15*2020
Personalized graph summarization: formulation, scalable algorithms, and applications
S Kang, K Lee, K Shin
2022 IEEE 38th International Conference on Data Engineering (ICDE), 2319-2332, 2022
102022
Slugger: Lossless hierarchical summarization of massive graphs
K Lee, J Ko, K Shin
2022 IEEE 38th International Conference on Data Engineering (ICDE), 472-484, 2022
72022
Deep-learning-based precipitation nowcasting with ground weather station data and radar data
J Ko, K Lee, H Hwang, K Shin
2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1063-1070, 2022
42022
Are edge weights in summary graphs useful?-a comparative study
S Kang, K Lee, K Shin
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 54-67, 2022
22022
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Articles 1–8