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Author

Sungsu Lim

Observed names: Lim, Sungsu, S. Lim, S.M. Lim
Observed institutions: University of Alberta, Korea Advanced Institute of Science and Technology, National University of Singapore, Chinese University of Hong Kong, Chungnam National University, Korea University
ORCID: 0000-0001-5924-3398
Observed ORCID: 0000-0001-5924-3398
OpenAlex ID: A5011058984
Graph Anomaly Detection With Graph Neural Networks: Current Status and Challenges
2022 · Hwan Kim, Byung Suk Lee, et al. · IEEE Access · 164
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LinkSCAN*: Overlapping community detection using the link-space transformation
2014 · Sungsu Lim, Seungwoo Ryu, et al. · IEEE International Conference on Data Engineering (ICDE) · 87
SiReN: Sign-Aware Recommendation Using Graph Neural Networks
2022 · Changwon Seo, Kyeong-Joong Jeong, et al. · IEEE Transactions on Neural Networks and Learning Systems · 56
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Separation of a functional deubiquitylating module from the SAGA complex by the proteasome regulatory particle
2013 · Sungsu Lim, Jaechan Kwak, et al. · Nature Communications · 39
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Design of Multiple-Level Hybrid Classifier for Intrusion Detection System
2006 · C. Xiang, S.M. Lim · Machine learning for signal processing ... · 36
A study on multimedia file carving method
2011 · Byeongyeong Yoo, Jungheum Park, et al. · Multimedia Tools and Applications · 32
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture
2020 · Lee, Jin-woo, Oh, Jaehoon, et al. · arXiv (Cornell University) · 24
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LinkBlackHole: Robust Overlapping Community Detection Using Link Embedding
2018 · Jungeun Kim, Sungsu Lim, et al. · IEEE Transactions on Knowledge and Data Engineering · 24
Modelling multi-state diffusion process in complex networks: theory and applications
2014 · Y. Lin, J. C. S. Lui, et al. · Journal of Complex Networks · 23
Differential Flattening
2016 · Jungeun Kim, Jae-Gil Lee, et al. · ACM Transactions on Intelligent Systems and Technology · 22
BlackHole: Robust community detection inspired by graph drawing
2016 · Sungsu Lim, Junghoon Kim, et al. · IEEE International Conference on Data Engineering (ICDE) · 21
Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications
2013 · Yishi Lin, John C.S. Lui, et al. · International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) · 20
A novel graph-based missing values imputation method for industrial lubricant data
2023 · Soohwan Jeong, Chonghyo Joo, et al. · Computers in Industry · 17
Stability of the Max-Weight Protocol in Adversarial Wireless Networks
2013 · Sungsu Lim, Kyomin Jung, et al. · IEEE/ACM Transactions on Networking · 17
A framework for environmental production of textile dyeing process using novel exhaustion-rate meter and multi-layer perceptron-based prediction model
2023 · Soohwan Jeong, Jonghun Lim, et al. · Process Safety and Environmental Protection · 15
Temporal Patternization of Power Signatures for Appliance Classification in NILM
2021 · Hwan Kim, Sungsu Lim · Energies · 15
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A research on the investigation method of digital forensics for a VMware Workstation’s virtual machine
2011 · Sungsu Lim, Byeongyeong Yoo, et al. · Mathematical and Computer Modelling · 15
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Actor-Expert: A Framework for using Q-learning in Continuous Action Spaces
2019 · Lim, Sungsu · arXiv (Cornell University) · 13
Motif-based embedding for graph clustering
2016 · Sungsu Lim, Jae-Gil Lee · Journal of Statistical Mechanics Theory and Experiment · 13
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Exploring Cohesive Subgraphs in Hypergraphs: The (k,g)-core Approach
2023 · Dahee Kim, Junghoon Kim, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 11
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Graph-Based Anomaly Detection of Ship Movements Using CCTV Videos
2023 · Nakhyeon Seong, Jeongseon Kim, et al. · Journal of Marine Science and Engineering · 11
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Effective and efficient core computation in signed networks
2023 · Junghoon Kim, Hyun Ji Jeong, et al. · Information Sciences · 11
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MIGTNet: Metapath Instance-based Graph Transformation Network for heterogeneous graph embedding
2023 · Jongmin Park, Soohwan Jeong, et al. · Future Generation Computer Systems · 10
Analysis of information diffusion for threshold models on arbitrary networks
2015 · Sungsu Lim, Inwoo Jung, et al. · The European Physical Journal B · 10
Development of Dye Exhaustion Behavior Prediction Model using Deep Neural Network
2022 · Jonghun Lim, Soohwan Jeong, et al. · Computer-aided chemical engineering/Computer aided chemical engineering · 8
Works count: 78
Citation count: 835
H-index: 15
I10-index: 24
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