| LinkSCAN*: Overlapping Community Detection Using the Link-Space Transformation S Lim, S Ryu, S Kwon, K Jung, JG Lee IEEE International Conference on Data Engineering (ICDE), 292-303, 2014 | 106 | 2014 |
| Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges H Kim, BS Lee, WY Shin, S Lim IEEE Access 10, 111820-111829, 2022 | 76 | 2022 |
| SSumM: Sparse Summarization of Massive Graphs K Lee, H Jo, J Ko, S Lim, K Shin ACM SIGKDD International Conference on Knowledge Discovery & Data Mining …, 2020 | 53 | 2020 |
| TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture J Lee, J Oh, S Lim, SY Yun, JG Lee AAAI Workshop (Towards Robust, Secure and Efficient Machine Learning), 2020 | 43 | 2020 |
| Differential Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs J Kim, JG Lee, S Lim ACM Transactions on Intelligent Systems and Technology (TIST) 8 (2), 27, 2017 | 38 | 2017 |
| Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications Y Lin, JCS Lui, K Jung, S Lim Journal of Complex Networks 2 (4), 431-459, 2014 | 34 | 2014 |
| BlackHole: Robust Community Detection Inspired by Graph Drawing S Lim, J Kim, JG Lee IEEE International Conference on Data Engineering (ICDE), 25-36, 2016 | 27 | 2016 |
| LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding J Kim, S Lim, JG Lee, BS Lee IEEE Transactions on Knowledge and Data Engineering (TKDE) 31 (11), 2138-2150, 2019 | 26 | 2019 |
| SiReN: Sign-Aware Recommendation Using Graph Neural Networks C Seo, KJ Jeong, S Lim, WY Shin IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 35 (4 …, 2024 | 24 | 2024 |
| Stability of the Max-Weight Protocol in Adversarial Wireless Networks S Lim, K Jung, M Andrews IEEE/ACM Transactions on Networking (TON) 22 (6), 1859-1872, 2014 | 19 | 2014 |
| Stability of the Max-Weight Protocol in Adversarial Wireless Networks S Lim, K Jung, M Andrews IEEE Conference on Computer Communications (INFOCOM), 1251-1259, 2012 | 19 | 2012 |
| Motif-Based Embedding for Graph Clustering S Lim, JG Lee Journal of Statistical Mechanics: Theory and Experiment 2016 (12), 123401, 2016 | 15 | 2016 |
| Analysis of Information Diffusion for Threshold Models on Arbitrary Networks S Lim, I Jung, S Lee, K Jung European Physical Journal B 88 (8), 201, 2015 | 13 | 2015 |
| Temporal Patternization of Power Signatures for Appliance Classification in NILM H Kim, S Lim Energies 14 (10), 2931, 2021 | 11 | 2021 |
| A novel graph-based missing values imputation method for industrial lubricant data S Jeong, C Joo, J Lim, H Cho, S Lim, J Kim Computers in Industry 150, 103937, 2023 | 10 | 2023 |
| A framework for environmental production of textile dyeing process using novel exhaustion-rate meter and multi-layer perceptron-based prediction model S Jeong, J Lim, SI Hong, SC Kwon, JY Shim, Y Yoo, H Cho, S Lim, J Kim Process Safety and Environmental Protection 175, 99-110, 2023 | 9 | 2023 |
| Phase Transitions for Information Diffusion in Random Clustered Networks S Lim, J Shin, N Kwak, K Jung European Physical Journal B 89 (9), 188, 2016 | 9 | 2016 |
| Development of Dye Exhaustion Behavior Prediction Model using Deep Neural Network J Lim, S Jeong, S Lim, H Cho, JY Shim, SI Hong, SC Kwon, H Lee, I Moon, ... Computer Aided Chemical Engineering 49, 1825-1830, 2022 | 7 | 2022 |
| Effective and efficient core computation in signed networks J Kim, HJ Jeong, S Lim, J Kim Information Sciences 634, 290-307, 2023 | 6 | 2023 |
| OCSM: Finding Overlapping Cohesive Subgraphs with Minimum Degree J Kim, S Lim, J Kim Information Sciences 607, 585-602, 2022 | 5 | 2022 |
Kyomin JungProfessor, Department of Electrical and Computer Engineering, Seoul National UniversityVerified email at snu.ac.kr
