Taehyung Kwon

2025

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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 Transactions on Intelligent Systems and Technology (TIST) 2025 Volume 16 Issue 1
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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, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025

2023

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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, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

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Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs.
Hyeonjeong Shin|Taehyung Kwon|Neil Shah|Kijung Shin
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022