Kyuhan Lee
Kyuhan Lee
M.S./Ph.D. Student at Graduate School of AI, KAIST
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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
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
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
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
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
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
Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data
J Ko, K Lee, H Hwang, K Shin
arXiv preprint arXiv:2210.12853, 2022
Are Edge Weights in Summary Graphs Useful?-A Comparative Study
S Kang, K Lee, K Shin
Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia …, 2022
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