Sungsu Lim
Cited by
Cited by
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
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
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
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
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
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
BlackHole: Robust Community Detection Inspired by Graph Drawing
S Lim, J Kim, JG Lee
IEEE International Conference on Data Engineering (ICDE), 25-36, 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
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
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
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
Motif-Based Embedding for Graph Clustering
S Lim, JG Lee
Journal of Statistical Mechanics: Theory and Experiment 2016 (12), 123401, 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
Temporal Patternization of Power Signatures for Appliance Classification in NILM
H Kim, S Lim
Energies 14 (10), 2931, 2021
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
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
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
OCSM: Finding Overlapping Cohesive Subgraphs with Minimum Degree
J Kim, S Lim, J Kim
Information Sciences 607, 585-602, 2022
Phase Transition of Multi-state Diffusion Process in Networks
S Lim, K Jung, JCS Lui
ACM SIGMETRICS Performance Evaluation Review 41 (3), 31-33, 2013
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
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