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Taehyung Kwon
Taehyung Kwon
Ph.D Student at KAIST AI
Verified email at kaist.ac.kr - Homepage
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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
162021
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
122022
Learning to pool in graph neural networks for extrapolation
J Ko, T Kwon, K Shin, J Lee
arXiv preprint arXiv:2106.06210, 2021
72021
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
42023
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
32023
Compact decomposition of irregular tensors for data compression: From sparse to dense to high-order tensors
T Kwon, J Ko, J Jung, JG Jang, K Shin
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
12024
BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning
J Ko, S Kang, T Kwon, H Moon, K Shin
ACM Transactions on Intelligent Systems and Technology 16 (1), 1-22, 2025
2025
Compact lossy compression of tensors via neural tensor-train decomposition
T Kwon, J Ko, J Jung, JG Jang, K Shin
Knowledge and Information Systems, 1-43, 2024
2024
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
NeuKron: constant-space lossy compression of sparse reorderable matrices
T Kwon
한국과학기술원, 2022
2022
Kronecker Generative Models for Power Law Patterns in Real-World Hypergraphs
M Choe, J Ko, T Kwon, K Shin, C Faloutsos
THE WEB CONFERENCE 2025, 0
Continuous CP Decomposition of Sparse Tensor Streams
T Kwon, I Park, D Lee, K Shin
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Articles 1–12