Research

Graphs illustrate intricate patterns in our perception of the world and ourselves;
graph mining enhances this comprehension by highlighting overlooked details.

Graph Representation Learning

absolute Multi-Resolution Network Embedding.

  • Van Thuy Hoang, O-Joun Lee: A Survey on Structure-Preserving Graph Transformers. arXiv preprint 01/2024; arXiv:2401.16176. (Preprint)
    arXiv

  • Van Thuy Hoang, O-Joun Lee: Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures. arXiv preprint 12/2023; arXiv:2312.16788. (Preprint)
    arXiv GitHub PWC GitHub stars GitHub forks

  • Van Thuy Hoang, O-Joun Lee: Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity. The 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada; 02/2024.
    DOI arXiv GitHub PWC Drive Drive YouTube Underline Press GitHub stars GitHub forks

  • Van Thuy Hoang, Hyeon-Ju Jeon, Eun-Soon You, Yoewon Yoon, Sungyeop Jung, O-Joun Lee: Graph Representation Learning and its Applications: A Survey. Sensors 04/2023; 23(8): 4168.
    DOI Press

  • Thanh Sang Nguyen, Jooho Lee, Van Thuy Hoang, O-Joun Lee: Connector 0.5: A unified framework for graph representation learning. arXiv preprint 04/2023; arXiv:2304.13195. (Preprint)
    arXiv GitHub PWC GitHub stars GitHub forks

Molecular Structure Analysis

  • Van Thuy Hoang, O-Joun Lee: Pre-training Graph Neural Networks on Molecules by using Subgraph-conditioned Graph Information Bottleneck. The 39th AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, PA, USA; 02/2025.
    arXiv GitHub PwC Drive Drive YouTube Underline GitHub stars GitHub forks

Bibliographic Network Analysis

  • O-Joun Lee, Hyeon-Ju Jeon, Jason J. Jung: Learning Multi-Resolution Representations of Research Patterns in Bibliographic Networks. Journal of Informetrics 02/2021; 15(1): 101126.
    DOI GitHub

  • O-Joun Lee, Seungha Hong, Jin-Taek Kim: Interinstitutional Research Team Formation Based on Bibliographic Network Embedding. Mobile Information Systems 02/2021; 2021: 6629520.
    DOI

  • Hyeon-Ju Jeon, O-Joun Lee, Jason. J. Jung: Is Performance of Scholars Correlated to Their Research Collaboration Patterns?. Frontiers in Big Data 11/2019; 2(39).
    DOI GitHub

Social Media Analysis

Rumor Propagation Detection

  • TBA

Knowledge Graph Embedding

Medical Knowledge Graph Embedding for Disease Diagnosis

  • Van Thuy Hoang, Sang Thanh Nguyen, Sangmyeong Lee, Jooho Lee, Luong Vuong Nguyen, O-Joun Lee: Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning. IEEE Access 10/2023; 11: 114238-114249.
    DOI arXiv GitHub PWC Demo GitHub stars GitHub forks

Medical Knowledge Graph Embedding for Drug Effect Prediction

  • TBA

Cultural Appropriateness Prediction of Daily Products

  • Van Thuy Hoang, Tien-Bach-Thanh Do, Jinho Seo, Seung Charlie Kim, Luong Vuong Nguyen, Duong Nguyen Minh Huy, Hyeon-Ju Jeon, O-Joun Lee: Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products. IEEE Access 01/2025. (To Appear)
    DOI arXiv GitHub GitHub stars GitHub forks

  • Van Thuy Hoang, Ho-Chan Yang, Ju-Hee Shim, O-Joun Lee: Halal Cosmetic Recommendation based on Knowledge Graph Representation Learning. The 10th International Conference on Next Generation Computing (ICNGC 2024), Angeles City, Philippines; 11/2024.
    Drive YouTube

Explainable Recommendation

Cross-domain Recommender System for Retail Kiosk

  • Nam-Gyu Jung, Van Thuy Hoang, O-Joun Lee†, Chang Choi†: Kiosk Recommend System based on Self-Supervised Representation Learning of User Behaviors in Offline Retail. IEEE Internet of Things Journal 05/2024; 11(10): 18686-18697. (†: Co-correspondence)
    DOI GitHub GitHub stars GitHub forks

Spatio-Temporal Graph Neural Networks

Solar Irradiance Forecasting

ASOS stations on Korean peninsula and their correlations.

  • Hyeon-Ju Jeon, Min-Woo Choi, O-Joun Lee: Day-ahead Hourly Solar Irradiance Forecasting based on Multi-attributed Spatio-temporal Graph Convolutional Network. Sensors 09/2022; 22(19): 7179.
    DOI GitHub GitHub stars GitHub forks

Wind Speed/Direction Forecasting

  • TBA

Atmospheric State Estimation

  • Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, O-Joun Lee: Observation Impact Explanation in Atmospheric State Estimation using Hierarchical Message-Passing Graph Neural Networks. Machine Learning: Science and Technology 10/2024; 5(4): 045036.
    DOI GitHub GitHub stars GitHub forks

  • Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, O-Joun Lee: CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks. arXiv preprint 02/2024; arXiv:2402.14861. (Preprint)
    arXiv Drive YouTube

  • Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, O-Joun Lee: Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation. The Explainable Machine Learning for Sciences Workshop (XAI4Sci) held in conjunction with the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada; 02/2024.
    arXiv Drive Drive Website

Digital Humanities and Social Sciences

Digital Literature

  • Eun-Soon You, Sun-Jung Ryu, O-Joun Lee: A Study on the ‘Esprit’ Indices of The Barber of Seville and The Marriage of Figaro Using the Vocabulary-Based Text Analysis Tool LIWC-22. Story & Image Telling 06/2024; 27: 93-119. (In Korean)
    DOI

  • Sun-Jung Ryu, Eun-Soon You: Literary Research Using Digital Analysis Tools: A Case Study of 『Dangerous Liaisons』. The Journal of the Convergence on Culture Technology 05/2024; 10(3): 173-180. (In Korean)
    DOI

  • Eun-Soon You, Sun-Jung Ryu: Étude sur l’enseignement de la littérature française à l’ère numérique. Enseignement de Langue et Littérature Françaises 03/2024; 84: 151-187. (In Korean)
    DOI

  • Eun-Soon You, Sun-Jung Ryu: New reading literature in the digital age : Construction of Albert Camus’ digital literature house. Humanities Contents 12/2023; (71): 107-135. (In Korean)
    DOI

  • Eun-Soon You, Hyeon-Ju Jeon, O-Joun Lee: A Social Network of Characters Appeared in the French Novel Series “La Comédie humaine” and An Interaction Network of Novels in the Series. Figshare 08/2023. (Dataset)
    DOI

  • Eun-Soon You, Hyeon-Ju Jeon, O-Joun Lee: A Dynamic Social Network of Characters Appeared in the French Novel, “Les Liaisons Dangereuses”. Figshare 08/2023. (Dataset)
    DOI

  • Eun-Soon You, “Albert Camus Digital Literary Museum”.
    Demo

Computational Social Sciences

  • Jooho Lee, Yoewon Yoon, O-Joun Lee: Korean News Corpus for Changes in Child Abuse before and after COVID-19 Outbreak. Figshare 08/2023. (Dataset)
    DOI

Medical Image and Signal Processing

Ultrasonic Signal Analysis for Cell Characterization

Automated Disease Diagnostics

  • Developing (semi-) automated diagnosis systems for various diseases
    • Inflicting high-frequency ultrasonic wave on live cells and analyzing microscopic images/back-scattered signals using deep learning-empowered models
    • Currently focusing on: diabetes, hypernatremia, hyperpotassemia, breast cancer, prostate cancer, etc.

Inflicting high-frequency ultrasonic wave on invasive/non-invasive breast cancer cells.

  • Ji Won Nam, Hyeon-Ju Jeon, Jeong Eun Lee, O-Joun Lee†, Hae Gyun Lim†: Quantification of dysnatremia using single-beam acoustic microbeam and convolutional neural networks. IEEE Sensors Journal 04/2024; 24(7): 9626-9638. (†: Co-correspondence)
    DOI

  • Jeong Eun Lee, Hyeon-Ju Jeon, O-Joun Lee†, Hae Gyun Lim†: Diagnosis of diabetes mellitus using high frequency ultrasound and convolutional neural network. Ultrasonics 01/2024; 136: 107167. (†: Co-correspondence)
    DOI

  • Hyeon-Ju Jeon, Hae Gyun Lim, K. Kirk Shung, O-Joun Lee†, Min Gon Kim†: Automated cell-type classification combining dilated convolutional neural networks with label-free acoustic sensing. Scientific Reports 11/2022; 12: 19873. (†: Co-correspondence)
    DOI

  • O-Joun Lee, Hae Gyun Lim, K. Kirk Shung, Jin-Taek Kim, Hyung Ham Kim: Automated Estimation of Cancer Cell Deformability with Machine Learning and Acoustic Trapping. Scientific Reports 04/2022; 12: 6891.
    DOI

  • Hae Gyun Lim†, O-Joun Lee†, K. Kirk Shung, Jin-Taek Kim, Hyung Ham Kim: Classification of Breast Cancer Cells Using the Integration of High-Frequency Single-Beam Acoustic Tweezers and Convolutional Neural Networks. Cancers 05/2020; 12(5): 1212. (†: Co-first authors)
    DOI

  • Jeong Eun Lee, Hyeon-Ju Jeon, O-Joun Lee, Hae Gyun Lim: Blood Glucose Classification Using high-Frequency Ultrasound and Artificial Intelligence. The 2023 IEEE International Ultrasonics Symposium (IEEE IUS 2023), Montreal, Canada; 09/2023
    Drive

  • Ji Won Nam, Hyeon-Ju Jeon, Jeong Eun Lee, O-Joun Lee, Hae Gyun Lim: Classification of Red Blood Cells for the Diagnosis of dysnatremia Based on Ultrasound and Convolutional Neural Networks. The 2023 IEEE International Ultrasonics Symposium (IEEE IUS 2023), Montreal, Canada; 09/2023
    Drive

  • Jeong Eun Lee, Hyeon-Ju Jeon, O-Joun Lee, Hae Gyun Lim: A Potential Tool of Non-Invasive Diabetes Diagnosis using High-Frequency Ultrasound and Convolutional Neural Networks. The 2023 Spring Conference of The Acoustical Society of Korea, Jeju, Korea; 06/2023 (in Korean)
    Drive

  • Ji Won Nam, Hyeon-Ju Jeon, Jeong Eun Lee, O-Joun Lee, Hae Gyun Lim: Automated Dysnatremia Measurement using Ultrasound Signals and Convolutional Neural Networks. The 2023 Spring Conference of The Acoustical Society of Korea, Jeju, Korea; 06/2023 (in Korean)
    Drive

  • Jeong Eun Lee, Hyeon-Ju Jeon, O-Joun Lee, Hae Gyun Lim: High-frequency ultrasound and convolutional neural network: A Potential tool for diagnosis of diabetes mellitus. Samsung Global Technology Symposium, Seoul, Korea; 04/2023 (in Korean)
    Drive Press

Marine Environment Monitoring System

Ultrasound Image Analysis

Diagnosis and Staging of Liver Fibrosis

  • Hyun-Cheol Park, YunSang Joo, O-Joun Lee, Kunkyu Lee, Tai-Kyong Song, Chang Choi, Moon Hyung Choi, Changhan Yoon: Automated classification of liver fibrosis stages using ultrasound imaging. BMC Medical Imaging 02/2024; 24: 36.
    DOI

  • Yunsang Joo, Hyun-Cheol Park, O-Joun Lee, Changhan Yoon, Moon Hyung Choi, Chang Choi: Classification of Liver Fibrosis from Heterogeneous Ultrasound Image. IEEE Access 01/2023; 11: 9920-9930.
    DOI

Miscellaneous

Semiconductor Design and Simulation

  • Minsun Cho, Taeheon Lee, O-Joun Lee, Sungyeop Jung: Transfer Learning for Semiconductor Device Simulation. The 9th IEEE/IEIE International Conference On Consumer Electronics Asia (ICCE-Asia 2024), Danang, Vietnam; 11/2024.

  • Minsun Cho, Jinwoo Jung, Taeheon Lee, Wolfgang Goes, Ahmed Nejim, O-Joun Lee, Sungyeop Jung: Data-Driven Auto-Calibration of a Dynamic Compact Model for Resistive Switching Memories. The 2024 Wiley Forum Fall Meeting, Seoul, Korea; 10/2024.

  • Minsun Cho, Marin Franot, O-Joun Lee, Sungyeop Jung: A Neural Compact Model Based-on Transfer Learning for Organic FETs with Gaussian Disorder. Journal of Materials Chemistry C 09/2024; 12(41): 16691–16700.
    DOI Drive Press

  • Minsun Cho, O-Joun Lee, Sungyeop Jung: A Neural Compact Model Based on Transfer Learning for Organic FETs. The 245th Electrochemical Society (ECS) Meeting, San Francisco, CA, USA; 05/2024
    DOI

  • Minsun Cho, O-Joun Lee, Sungyeop Jung: An Artificial Neural Network-based Compact Model for Organic Field-Effect Transistors with the Gaussian Disorder Model. The 2023 Asia-Pacific Workshop on Advanced Semiconductor Devices (AWAD 2023), Yokohama, Japan; 07/2023
    Drive

AI-driven Chemical Process Design

  • TBA

Water Distribution Pipe Corrosion Assessment

  • Yeongho Sung, Hyeon-Ju Jeon, Daehun Kim, Min-Seo Kim, Jaeyeop Choi, Hwan Ryul Jo, Junghwan Oh, O-Joun Lee†, Hae Gyun Lim†: Internal pipe corrosion assessment method in water distribution system using ultrasound and convolutional neural networks. npj Clean Water 07/2024; 7: 63. (†: Co-correspondence)
    DOI GitHub Press GitHub stars GitHub forks

  • So Yeon Moon, Hyeon-Ju Jeon, Yeongho Sung, Min-Seo Kim, Daehun Kim, Jaeyeop Choi, Junghwan Oh, O-Joun Lee, Hae Gyun Lim: Dual-mode diagnosis system for water quality and corrosion in pipe using convolutional neural networks (CNN) and ultrasound. The 2023 Annual Conference of Korea Information Processing Society, Busan, Korea; 11/2023 (in Korean)
    Drive

Regular Seminars

  • If you are interested in our research topics and objectives, you may find it beneficial to explore the content of our regular seminars through the links provided below.
    Link Link

  • Newcomers to the NS Lab @ CUK are encouraged to review the following reading list to gain a solid understanding of the fundamental concepts and models in graph learning.
    Link

  • A non-technical introduction to the field of network science and graph mining can be found in the following readings. (비전공자를 위한 네트워크 과학과 그래프 마이닝 분야 소개는 다음 읽을거리들을 참조하세요.)
    repo repo repo repo repo repo repo

Open Source Projects

  • Open datasets and open source implementations created by members and collaborators of the Network Science Lab are available via the following links.
    Link Link

Research Grants

  • “Literary Research in the Digital Age: Analysis of Literary Works using Deep Learning-based Language Model,” supported by the Academic Research Professors Program through NRF of Korea and funded by MOE of Korea (Jun 2024 – May 2025, 20 Mil KRW) (PI: Eun-Soon You)
  • “Knowledge Graph-based Cross-cultural Personalized Recommendation Solution for Korean Food/Cosmetic Products,” through NRF of Korea and funded by MOE of Korea (Apr 2024 – Nov 2024, 30 Mil KRW), by cooperating with Shukran Korea Inc. (PI: O-Joun Lee)
    (지식그래프 기반 한국 식품/화장품 글로벌 개인화 추천 솔루션, 한국연구재단(NRF)/산학공동기술개발과제(LINC 3.0))
  • “Topography-aware Wind Speed and Direction Forecasting System based on Multi-modal Spatio-temporal Graph Neural Networks,” funded by The Catholic University of Korea (Mar 2024 – Feb 2025, 7 Mil KRW) (PI: O-Joun Lee)
  • “Development of AI-powered Algorithms to Build Smart Cart System,” funded by Pixel Inc. (Jan 2024 – Dec 2026, 150 Mil KRW) (PI: Keunsoo Ko; Co-PIs: O-Joun Lee, Kang-Min Kim, and Youjin Shin)
  • “Development of Underground Burial Analysis Technology and System using Ground Penetrating Radar and Artificial Intelligence,” led by Movements Inc. and funded by Ministry of SMEs and Startups (MSS) (Jan 2024 – Dec 2026, 1,140 Mil KRW) (PI: O-Joun Lee; Co-PIs: Keunsoo Ko, Kang-Min Kim, and Youjin Shin)
    (GPR 탐사 결과 분석 시스템 연구개발, 주식회사 무브먼츠/산학과제)
  • “A study on the application and use of generative AI to support the process of the prosecution,” funded by Supreme Prosecutors’ Office of the Republic of Korea (Oct 2023 – Dec 2023, 80 Mil KRW) (PI: Youjin Shin; Co-PIs: Kang-Min Kim, O-Joun Lee, and Keunsoo Ko)
  • “K-Food/Cosmetics safety evaluation and recommendation solution based on cross-culture knowledge graph,” through NRF of Korea and funded by MOE of Korea (Jul 2023 – Dec 2023, 60 Mil KRW), by cooperating with Shukran Korea Inc. (PI: O-Joun Lee)
    (크로스컬처 지식그래프 기반 한국 식품/화장품 안전성 평가 및 추천 솔루션, 한국연구재단(NRF)/산학공동기술개발과제(LINC 3.0))
  • “Analysis of Redundancies and Conflicts in Construction Standards,” funded by Korea Institute of Civil Engineering and Building Technology (KICT) (Jun 2023 – Nov 2023, 90 Mil KRW) (PI: Kang-Min Kim; Co-PIs: O-Joun Lee and Youjin Shin)
  • “Topography-aware Wind Speed and Direction Forecasting System based on Multi-modal Spatio-temporal Graph Neural Networks,” funded by The Catholic University of Korea (Mar 2023 – Feb 2024, 7 Mil KRW) (PI: O-Joun Lee)
  • “Organizing Korea-EU Research Group for (Semi-) Automated Diagnostics Support System based on Medical Knowledge Graph Mining,” supported by the Korea-EU Cooperation Promotion Program through NRF of Korea and funded by MSIT of Korea (Oct 2022 – Sep 2023, 25 Mil KRW) (PI: O-Joun Lee)
    (의료 지식그래프 마이닝 기반 진단보조시스템 연구를 위한 한-EU 연구그룹 구성, 한국연구재단(NRF)/국제공동활성화연구비)
  • “Research Team Formation based on Bibliographic Network Embedding,” funded by The Catholic University of Korea (Sep 2022 – Aug 2023, 7 Mil KRW) (PI: O-Joun Lee)
  • “Conversational Interface and Menu Recommendation System for Robot Cafe,” funded by Order Queen Co., Ltd. (Aug 2022 – Nov 2022, 30 Mil KRW) (PI: O-Joun Lee; Co-PIs: Kang-Min Kim)
    (챗봇 기반 장애인용 키오스크 인터페이스 및 메뉴 추천 시스템, 오더퀸 주식회사/산학과제)
  • “Multi-modal Transformer Model for Self-supervised Representation Learning of Dynamic Heterogeneous Networks,” supported by the Basic Science Research Program through NRF of Korea and funded by MSIT of Korea (Jun 2022 – Feb 2025, 132 Mil KRW) (PI: O-Joun Lee)
    (동적 이종 네트워크의 자기지도 표현학습을 위한 Multi-modal 트랜스포머 모델 개발, 한국연구재단(NRF)/기본연구지원사업)
  • “Development of ML-based multi scale simulation platform for designing and optimizing ReRAM crossbar array (CBA) circuits for AI semiconductors,” supported by NRF of Korea and funded by MSIT of Korea (Apr 2022 – Dec 2024, 550 Mil KRW) (PI: Sungyeop Jung; Co-PIs: O-Joun Lee)
  • “Development of Veterinary Information Services based on Chatbot,” funded by IntoCNS Co., Ltd. (Feb 2022 – Oct 2022, 150 Mil KRW) (PI: Kang-Min Kim; Co-PIs: O-Joun Lee, Mansu Kim, and Donghwa Jeong)
  • “Chatbot-based Kiosk Interface and Menu Recommendation System,” funded by Order Queen Co., Ltd. (Feb 2022 – Apr 2022, 10 Mil KRW) (PI: Kang-Min Kim; Co-PIs: O-Joun Lee)
  • “Research Team Formation based on Bibliographic Network Embedding,” funded by The Catholic University of Korea (Sep 2021 – Aug 2022, 7 Mil KRW) (PI: O-Joun Lee)

Media Exposure