| Hypergraph Motifs: Concepts, Algorithms, and Discoveries G Lee, J Ko, K Shin Proceedings of the VLDB Endowment 13 (11), 2256-2269, 2020 | 80 | 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 | 65 | 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 | 27 | 2022 |
| 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 | 27 | 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 | 27 | 2020 |
| A survey on hypergraph mining: Patterns, tools, and generators G Lee, F Bu, T Eliassi-Rad, K Shin ACM Computing Surveys, 2024 | 19 | 2024 |
| Hashnwalk: Hash and random walk based anomaly detection in hyperedge streams G Lee, M Choe, K Shin arXiv preprint arXiv:2204.13822, 2022 | 14 | 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 | 11 | 2019 |
| Temporal hypergraph motifs G Lee, K Shin Knowledge and Information Systems 65 (4), 1549-1586, 2023 | 10 | 2023 |
| Random walk with restart on hypergraphs: fast computation and an application to anomaly detection J Chun, G Lee, K Shin, J Jung Data Mining and Knowledge Discovery 38 (3), 1222-1257, 2024 | 9 | 2024 |
| Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications F Bu, G Lee, K Shin Data Mining and Knowledge Discovery 37 (6), 2389-2437, 2023 | 9 | 2023 |
| 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 | 9 | 2022 |
| Simple Epidemic Models with Segmentation Can Be Better than Complex Ones G Lee, S Yoon, K Shin PLOS ONE, 2022 | 8 | 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 | 7 | 2024 |
| Tutorials at the web conference 2023 V Fionda, O Hartig, R Abdolazimi, S Amer-Yahia, H Chen, X Chen, P Cui, ... Companion Proceedings of the ACM Web Conference 2023, 648-658, 2023 | 7 | 2023 |
| VilLain: Self-supervised learning on homogeneous hypergraphs without features via virtual label propagation G Lee, SY Lee, K Shin Proceedings of the ACM Web Conference 2024, 594-605, 2024 | 4 | 2024 |
| Set2Box: Similarity preserving representation learning for sets G Lee, C Park, K Shin 2022 IEEE International Conference on Data Mining (ICDM), 1023-1028, 2022 | 3 | 2022 |
| Representative and Back-In-Time Sampling from Real-World Hypergraphs M Choe, J Yoo, G Lee, W Baek, U Kang, K Shin ACM Transactions on Knowledge Discovery from Data 18 (6), 1-48, 2024 | 2 | 2024 |
| Supplementary document for ‘A survey on hypergraph mining: Patterns, tools, and generators’ G Lee, F Bu, T Eliassi-Rad, K Shin | 1 | 2025 |
| Towards Better Utilization of Multiple Views for Bundle Recommendation K Kim, S Kim, G Lee, K Shin Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 1 | 2024 |