Journal Publications

  1. SiReN: Sign-Aware Recommendation Using Graph Neural Networks
    Changwon Seo, Kyeong-Joong Jeong, Sungsu Lim, and Won-Yong Shin
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022+ (accepted) (SCIE, 2021 IF: 14.255 (Q1))
  2. LUEM: Local User Engagement Maximization in Networks
    Junghoon Kim, Jungeun Kim, Hyun Ji Jeong, and Sungsu Lim
    ​Knowledge-Based Systems, 255:109788, Nov. 2022 (SCIE, 2021 IF: 8.139 (Q1))
  3. Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges
    Hwan Kim, Byung Suk Lee, Won-Yong Shin, and Sungsu Lim
    IEEE Access, Oct. 2022 (accepted) (SCIE, 2021 IF: 3.476 (Q2))
  4. LEHAN: Link-feature Enhanced Heterogeneous Graph Attention Network
    Jongmin Park and Sungsu Lim
    ​IEEE Access, 10:86248-86255, Aug. 2022 (SCIE, 2021 IF: 3.476 (Q2))
  5. OCSM: Finding Overlapping Cohesive Subgraphs with Minimum Degree
    Junghoon Kim, Sungsu Lim, and Jungeun Kim
    Information Sciences, 607:585-602, Aug. 2022 (SCIE, 2021 IF: 8.233 (Q1))
  6. Link Pruning for Community Detection in Social Networks
    Jeongseon Kim, Soohwan Jeong, and Sungsu Lim
    Applied Sciences, 12(13):6811, Jul. 2022 (SCIE, 2021 IF: 2.838 (Q2))
  7. Temporal Patternization of Power Signature for Appliance Classification in NILM
    Hwan Kim and Sungsu Lim
    Energies, 14(10):2931, May 2021 (SCIE, 2021 IF: 3.252 (Q3))
  8. LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding
    Jungeun Kim, Sungsu Lim, Jae-Gil Lee, and Byung Suk Lee
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(11):2138-2150, Nov. 2019 (SCIE, 2019 IF: 4.935 (Q1))
  9. Efficient Spread-size Approximation of Opinion Spreading in General Social Networks
    Byeongjin Choe, Yishi Lin, Sungsu Lim, John C. S. Lui, and Kyomin Jung
    Physical Review E, 100:052311, Nov. 2019 (SCIE, 2019 IF: 2.296 (Q1))
  10. Differential Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs
    Jungeun Kim, Jae-Gil Lee, and Sungsu Lim
    ACM Transactions on Intelligent Systems and Technology (TIST), 8(2):27, Jan. 2017 (SCIE, 2017 IF: 2.973 (Q1))
  11. Motif-Based Embedding for Graph Clustering
    Sungsu Lim and Jae-Gil Lee
    Journal of Statistical Mechanics: Theory and Experiment, 2016:123401, Dec. 2016 (SCIE, 2016 IF: 2.196 (Q1))
  12. Phase Transitions for Information Diffusion in Random Clustered Networks
    Sungsu Lim, Joongbo Shin, Namju Kwak, and Kyomin Jung
    European Physical Journal B, 89(9):188, Sep. 2016 (SCIE, 2016 IF: 1.436 (Q3))
  13. Analysis of Information Diffusion for Threshold Models on Arbitrary Networks
    Sungsu Lim, Inwoo Jung, Seulki Lee, and Kyomin Jung
    European Physical Journal B, 88(8):201, Aug. 2015 (SCIE, 2015 IF: 1.223 (Q3))
  14. Stability of the Max-Weight Protocol in Adversarial Wireless Networks
    Sungsu Lim, Kyomin Jung, and Matthew Andrews
    IEEE/ACM Transactions on Networking (TON), 22(6):1859-1872, Dec. 2014 (SCIE, 2014 IF: 1.811 (Q1))
  15. Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications
    Yishi Lin, John C.S. Lui, Kyomin Jung, and Sungsu Lim
    Journal of Complex Networks, 2(4):341-359, Dec. 2014
  16. Phase Transition of Multi-state Diffusion Process in Networks
    Sungsu Lim, Kyoming Jung, and John C.S. Lui
    ACM SIGMETRICS Performance Evaluation Review, 41(3):31-33, Jan. 2014
* JCR Impact Factor (IF): [web]

Conference Proceedings

  1. Development of Dye Exhaustion Behavior Prediction Model using Deep Neural Network
    Jonghun Lim, Soohwan Jeong, Sungsu Lim, Hyungtae Cho, Jae Yun Shim, Seok Il Hong, Soon Chul Kwon, Heedong Lee, Il Moon, and Junghwan Kim
    PSE 2021+, Jun. 2022
  2. (p, n)-Core: Core Decomposition in Signed Networks
    Junghoon Kim and Sungsu Lim
    DASFAA 2022, Apr. 2022 (BK21, 인정 IF: 1)
  3. Cluster-aware Semantic Vector Learning using BERT in Natural Language Understanding
    Sangkeun Jung and Sungsu Lim
    IEEE BigComp 2021, Jan. 2021 (best paper - 3rd place)
  4. SSumM: Sparse Summarization of Massive Graphs
    Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, and Kijung Shin
    ACM SIGKDD 2020, Aug. 2020 (BK21, 인정 IF: 4)
  5. Meta-learning on Graph with Curvature-based Analysis
    Tae-Hong Moon and Sungsu Lim
    AAAI 2020 (student abstract), Feb. 2020
  6. LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding
    Jungeun Kim, Sungsu Lim, Jae-Gil Lee, and Byung Suk Lee
    IEEE ICDE 2019 (extended abstract), Apr. 2019
  7. BlackHole: Robust Community Detection Inspired by Graph Drawing
    Sungsu Lim, Junghoon Kim, and Jae-Gil Lee
    IEEE ICDE 2016, May 2016 (BK21, 인정 IF: 3)
  8. Triangle Counting in Networks Using the Multi-Level Branching Technique
    Jungeun Kim, Minseo Kang, Sungsu Lim, and Jae-Gil Lee
    IEEE BigComp 2015, Feb. 2015
  9. LinkSCAN*: Overlapping Community Detection Using the Link-Space Transformation
    Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, and Jae-Gil Lee
    IEEE ICDE 2014, Apr. 2014 (BK21, 인정 IF: 3)
  10. Stability of the Max-Weight Protocol in Adversarial Wireless Networks
    Sungsu Lim, Kyomin Jung, and Matthew Andrews
    IEEE INFOCOM 2012, Mar. 2012 (BK21, 인정 IF: 4)
* Top CS conference list by BK21, NRF Korea: [web]

Workshops & Presentations

  1. Role-based Multi-aspect Network Embedding
    Soohwan Jeong and Sungsu Lim
    INFORMS Annual Meeting 2021, Oct. 2021
  2. Scaling Graph Neural Networks With Biased Random Walk Based Graph Sampling
    Yeong Cheol Kim and Sungsu Lim
    INFORMS Annual Meeting 2021, Oct. 2021
  3. TornadoAggregate: Accurate and Scalable Federated Learning via th Ring-Based Architecture
    Jin-woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, and Jae-Gil Lee
    RSEML@AAAI 2021, Feb. 2021
  4. Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications
    Yishi Lin, John C.S. Lui, Kyomin Jung, and Sungsu Lim
    Complex Networks 2013, Dec. 2013
  5. Phase Transition of Multi-state Diffusion Process in Networks
    Sungsu Lim, Kyoming Jung, and John C.S. Lui
    MAMA@ACM SIGMETRICS 2013, Jun. 2013
  6. Generalized Mean-Field Approximation for Opinion Spreading in Social Networks
    Sungsu Lim and Kyomin Jung
    Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS), Nov. 2012
  7. Analysis of Information Diffusion on Threshold Models in Arbitrary Social Networks
    Kyomin Jung, Seulki Lee, and Sungsu Lim.
    Workshop on Information in Networks (WIN), Sep. 2012
  8. Tipping Point of Information Spreading in Random Clustered Networks with Heterogeneous Contact Rates
    Sungsu Lim and Kyomin Jung
    CompleNet 2012, Mar. 2012

Preprints

  1. Effective and Efficient Core Decomposition in Signed Networks
    Junghoon Kim, Sungsu Lim, and Jungeun Kim
    ​Int'l Journal, under review
  2. (A work on heterogeneous graph representation learning)
    Jongmin Park, Soohwan Jeong, Byung Suk Lee, and Sungsu Lim
    Int'l Conf., under review
  3. A framework for right-first-time dyeing using novel exhaustion-rate meter and machine learning-based prediction model
    Soohwan Jeong, Jonghun Lim, Seok Il Hong, Soon Chul Kwon, Jae Yun Shim, Yup Yoo, Hyungtae Cho, Sungsu Lim, and Junghwan Kim
    Int'l Journal, under review
  4. A novel graph-based missing values imputation method for lubricant data
    Soohwan Jeong, Chonghyo Joo, Seokyoung Hong, Jongkoo Lim, Hyungtae Cho, Sungsu Lim, and Junghwan Kim
    Int'l Journal, under review
Please visit [google scholar] for more information.