Research

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

Table of Contents

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 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.
    GitHub GitHub stars GitHub forks

Bibliographic Network Embedding

  • 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, 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. (To Appear)
    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

Cell Analysis with High-Frequency Ultrasond and Deep Learning

(Semi-) 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

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. (To Appear)
    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

  • 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

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

  • 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