Hypergraph motifs: Concepts, algorithms, and discoveries G Lee, J Ko, K Shin Proceedings of the VLDB Endowment 13 (11), 2256-2269, 2020 | 72 | 2020 |
Incremental lossless graph summarization J Ko, Y Kook, K Shin Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 45 | 2020 |
Ssumm: Sparse summarization of massive graphs K Lee, H Jo, J Ko, S Lim, K Shin Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 43 | 2020 |
Evolution of real-world hypergraphs: Patterns and models without oracles Y Kook, J Ko, K Shin 2020 IEEE International Conference on Data Mining (ICDM), 272-281, 2020 | 28 | 2020 |
Effective training strategies for deep-learning-based precipitation nowcasting and estimation J Ko, K Lee, H Hwang, SG Oh, SW Son, K Shin Computers & Geosciences 161, 105072, 2022 | 19 | 2022 |
Monstor: An inductive approach for estimating and maximizing influence over unseen social networks J Ko, K Lee, K Shin, N Park 2020 IEEE/ACM International Conference on Advances in Social Networks …, 2020 | 15 | 2020 |
X-droid: A quick and easy android prototyping framework with a single-app illusion D Kim, S Park, J Ko, SY Ko, SJ Lee Proceedings of the 32nd Annual ACM Symposium on User Interface Software and …, 2019 | 13 | 2019 |
Growth patterns and models of real-world hypergraphs J Ko, Y Kook, K Shin Knowledge and Information Systems 64 (11), 2883-2920, 2022 | 10 | 2022 |
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 | 7 | 2022 |
Slugger: Lossless hierarchical summarization of massive graphs K Lee, J Ko, K Shin 2022 IEEE 38th International Conference on Data Engineering (ICDE), 472-484, 2022 | 7 | 2022 |
Evaluation of deep-learning-based very short-term rainfall forecasts in South Korea SG Oh, C Park, SW Son, J Ko, K Shin, S Kim, J Park Asia-Pacific Journal of Atmospheric Sciences 59 (2), 239-255, 2023 | 6 | 2023 |
Learning to pool in graph neural networks for extrapolation J Ko, T Kwon, K Shin, J Lee arXiv preprint arXiv:2106.06210, 2021 | 5 | 2021 |
Characterization of simplicial complexes by counting simplets beyond four nodes H Kim, J Ko, F Bu, K Shin Proceedings of the ACM Web Conference 2023, 317-327, 2023 | 4 | 2023 |
Deep-learning-based precipitation nowcasting with ground weather station data and radar data J Ko, K Lee, H Hwang, K Shin 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1063-1070, 2022 | 4 | 2022 |
Hypergraph motifs and their extensions beyond binary G Lee, S Yoon, J Ko, H Kim, K Shin The VLDB Journal 33 (3), 625-665, 2024 | 2 | 2024 |
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 | 2 | 2023 |
Prototyping Functional Android App Features with ProDroid (poster) D Kim, SY Park, J Ko, SY Ko, SJ Lee Proceedings of the 17th Annual International Conference on Mobile Systems …, 2019 | 1 | 2019 |
Deep learning model for heavy rainfall nowcasting in South Korea SG Oh, SW Son, YH Kim, C Park, J Ko, K Shin, JH Ha, H Lee Weather and Climate Extremes, 100652, 2024 | | 2024 |
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 |
Android Intent 를 활용한 기록-재생 테스트 최적화 기법 고지훈, 김동휘, 이성주 한국정보과학회 학술발표논문집, 1789-1791, 2017 | | 2017 |