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Shinhwan Kang
Shinhwan Kang
Ph.D. Student at Graduate School of AI, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
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
92022
Begin: Extensive benchmark scenarios and an easy-to-use framework for graph continual learning
J Ko, S Kang, T Kwon, H Moon, K Shin
arXiv preprint arXiv:2211.14568, 2022
62022
Weather4cast at neurips 2022: Super-resolution rain movie prediction under spatio-temporal shifts
A Gruca, F Serva, L Lliso, P Rípodas, X Calbet, P Herruzo, J Pihrt, ...
NeurIPS 2022 Competition Track, 292-313, 2023
52023
Hypeboy: Generative self-supervised representation learning on hypergraphs
S Kim, S Kang, F Bu, SY Lee, J Yoo, K Shin
arXiv preprint arXiv:2404.00638, 2024
32024
Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition
T Kim, S Kang, H Shin, D Yoon, S Eom, K Shin, SY Yun
arXiv preprint arXiv:2212.02059, 2022
32022
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm
F Bu, S Kang, K Shin
Data Mining and Knowledge Discovery 37 (6), 2139-2191, 2023
22023
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
On Making Graph Continual Learning Easy, Fool-Proof, and Extensive: a Benchmark Framework and Scenarios
J Ko, S Kang, K Shin
2022
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