Taehyung Kwon

According to our database, Taehyung Kwon authored at least 13 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Effective and lightweight lossy compression of tensors: techniques and applications.

Jihoon Ko, Taehyung Kwon, Jinhong Jung, Kijung Shin

Knowl. Inf. Syst., September, 2025

BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning.

Jihoon Ko, Shinhwan Kang, Taehyung Kwon, Heechan Moon, Kijung Shin

ACM Trans. Intell. Syst. Technol., February, 2025

Compact lossy compression of tensors via neural tensor-train decomposition.

Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, Kijung Shin

Knowl. Inf. Syst., February, 2025

Kronecker Generative Models for Power-Law Patterns in Real-World Hypergraphs.

Minyoung Choe, Jihoon Ko, Taehyung Kwon, Kijung Shin, Christos Faloutsos

Proceedings of the ACM on Web Conference 2025, 2025

Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts.

Jongha Lee, Taehyung Kwon, Heechan Moon, Kijung Shin

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order Tensors.

Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, Kijung Shin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ELiCiT: Effective and Lightweight Lossy Compression of Tensors.

Jihoon Ko, Taehyung Kwon, Jinhong Jung, Kijung Shin

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors.

Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin

Proceedings of the ACM Web Conference 2023, 2023

TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions.

Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs.

Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

Learning to Pool in Graph Neural Networks for Extrapolation.

Jihoon Ko, Taehyung Kwon, Kijung Shin, Juho Lee

CoRR, 2021

SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams.

Taehyung Kwon, Inkyu Park, Dongjin Lee, Kijung Shin

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2016

HGTree: database of horizontally transferred genes determined by tree reconciliation.

Hyeonsoo Jeong, Samsun Sung, Taehyung Kwon, Minseok Seo, Kelsey Caetano-Anollés, Sang Ho Choi, Seoae Cho, Arshan Nasir, Heebal Kim

Nucleic Acids Res., 2016