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)

SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams. - Taehyung Kwon; Inkyu Park 001; Dongjin Lee; Kijung Shin (ICDE, 2021)

Learning to Pool in Graph Neural Networks for Extrapolation. - Jihoon Ko; Taehyung Kwon; Kijung Shin; Juho Lee 001 (CoRR, 2021)

Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs. - Hyeonjeong Shin; Taehyung Kwon; Neil Shah; Kijung Shin (WSDM, 2022)

TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions. - Taehyung Kwon; Jihoon Ko; Jinhong Jung; Kijung Shin (ICDM, 2023)

NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors. - Taehyung Kwon; Jihoon Ko; Jinhong Jung; Kijung Shin (WWW, 2023)

ELiCiT: Effective and Lightweight Lossy Compression of Tensors. - Jihoon Ko; Taehyung Kwon; Jinhong Jung; Kijung Shin (ICDM, 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 (KDD, 2024)

Kronecker Generative Models for Power-Law Patterns in Real-World Hypergraphs. - Minyoung Choe; Jihoon Ko; Taehyung Kwon; Kijung Shin; Christos Faloutsos (WWW, 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., 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., 2025)

Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts. - Jongha Lee; Taehyung Kwon; Heechan Moon; Kijung Shin (CoRR, 2025)