Welcome to the LearnData Lab
Machine Learning and Data Mining Research lab at SKKU
We are a dynamic research group at the Sungkyunkwan University (SKKU). Our aim is to develop Machine Learning/Data Mining models on Inter-Connected Data (e.g., human interactions, object graph in 3D, social networks, knowledge base, education log, sensor network, and multi-modal graph) and Natural Language Processing (e.g., knowledge-enhanced large language models (LLMs) and logical/symbolic reasoning). The current research topics include self-supervised graph learning, multi-modal learning (image/text or sensors), question/answering, logical reasoning, knowledge tracing, recommender systems, and explainable AI (XAI).
We are looking for passionate new Ph.D. students and Postdocs to join the team (more info) !
We are part of the College of Computing and Informatics (소프트웨어융합대학) at Sungkyunkwan University (SKKU) and affiliated with Computer Science Engineering (소프트웨어학과), Artificial Intelligence (인공지능대학원), and Intelligent Software (지능형소프트웨어) departments.
We are grateful for funding from the National Research Foundation of Korea (NRF), BK21, Information & Communications Technology Planning & Evaluation (IITP), National IT Industry Promotion Agency (NIPA), LG Electronics, NCSOFT, and NAVER.
News
Dec. 2024Two papers have been accepted to the AAAI 2025. Congratulations, Sangho, Hyunju, and Geonhee!
Nov. 2024A paper, MELA: Multi-Event Localization Answering Framework for Video Question Answering, has been accepted to the SAC 2025. Congratulations, Jimyeong!
Nov. 2024A paper, CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoder, has been accepted to the WSDM 2025. Congratulations, Jongwon and Heesoo!
Oct. 2024A paper, A Spectrum of Nonsense-mediated mRNA Decay Efficiency along the Degree of Mutational Constraint, has been accepted to the Communications Biology. Congratulations, Hyunju! (A joint work with Samsung Medical Center)
Aug. 2024A paper, Enhancing Knowledge Tracing with Concept Map and Response Disentanglement, has been accepted to the Knowledge-Based Systems. Congratulations, Soonwook! (A joint work with Poly Inspiration)
Jul. 2024I gave a talk at the Data Intelligence Workshop, organized by the KIISE Database Society, on recent trends in Knowledge Graph Embedding methods.
May 2024A paper, Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning, has been accepted to the Findings of ACL 2024. Congratulations, Jeonghoon Kim and Heesoo Jung!
Jan. 2024A paper, UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models, has been accepted to the ICLR 2024. Congratulations, Hyunju and Geonhee!
Oct. 2023A paper, Self-supervised Multimodal Graph Convolutional Network for Collaborative Filtering, has been accepted to the the Information Sciences Journal. (A joint work with NAVER and Korea Univ.)