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Taehyung Kwon
Taehyung Kwon
Ph.D Student at KAIST AI
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Slicenstitch: Continuous cp decomposition of sparse tensor streams
T Kwon, I Park, D Lee, K Shin
2021 IEEE 37th International Conference on Data Engineering (ICDE), 816-827, 2021
122021
Learning to pool in graph neural networks for extrapolation
J Ko, T Kwon, K Shin, J Lee
arXiv preprint arXiv:2106.06210, 2021
52021
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
42022
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors
T Kwon, J Ko, J Jung, K Shin
Proceedings of the ACM Web Conference 2023, 71-81, 2023
12023
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions
T Kwon, J Ko, J Jung, K Shin
2023 IEEE International Conference on Data Mining (ICDM), 229-238, 2023
2023
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs
H Shin, T Kwon, N Shah, K Shin
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
2022
Continuous CP Decomposition of Sparse Tensor Streams
T Kwon, I Park, D Lee, K Shin
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