| Hypergraph Motifs: Concepts, Algorithms, and Discoveries G Lee, J Ko, K Shin Proceedings of the VLDB Endowment 13 (11), 2256-2269, 2020 | 41 | 2020 |
| How Do Hyperedges Overlap in Real-World Hypergraphs? - Patterns, Measures, and Generators G Lee, M Choe, K Shin Proceedings of the Web Conference 2021, 2021 | 26 | 2021 |
| MEGA: Multi-view semi-supervised clustering of hypergraphs JJ Whang, R Du, S Jung, G Lee, B Drake, Q Liu, S Kang, H Park Proceedings of the VLDB Endowment 13 (5), 698-711, 2020 | 19 | 2020 |
| Thyme+: Temporal hypergraph motifs and fast algorithms for exact counting G Lee, K Shin 2021 IEEE International Conference on Data Mining (ICDM), 310-319, 2021 | 11 | 2021 |
| Midas: Representative sampling from real-world hypergraphs M Choe, J Yoo, G Lee, W Baek, U Kang, K Shin Proceedings of the ACM Web Conference 2022, 1080-1092, 2022 | 7 | 2022 |
| Hyperlink classification via structured graph embedding G Lee, S Kang, JJ Whang Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 7 | 2019 |
| Simple Epidemic Models with Segmentation Can Be Better than Complex Ones G Lee, S Yoon, K Shin PLOS ONE, 2022 | 4 | 2022 |
| Mining of Real-world Hypergraphs: Patterns, Tools, and Generators G Lee, J Yoo, K Shin Proceedings of the 31st ACM International Conference on Information …, 2022 | 2 | 2022 |
| Hashnwalk: Hash and random walk based anomaly detection in hyperedge streams G Lee, M Choe, K Shin arXiv preprint arXiv:2204.13822, 2022 | 2 | 2022 |
| Temporal hypergraph motifs G Lee, K Shin Knowledge and Information Systems, 1-38, 2023 | | 2023 |
| Hypercore Decomposition for Non-Fragile Hyperedges: Concepts, Algorithms, Observations, and Applications F Bu, G Lee, K Shin arXiv preprint arXiv:2301.08440, 2023 | | 2023 |
| Set2Box: Similarity Preserving Representation Learning of Sets G Lee, C Park, K Shin arXiv preprint arXiv:2210.03282, 2022 | | 2022 |
