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.


May 2024

A paper, Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning, is accepted at Findings of ACL 2024. Congratulations, Jeonghoon Kim and Heesoo Jung!

Jan 2024

A paper, UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models, is accepted at ICLR 2024. Congratulations, Hyunju and Geonhee!

Oct 2023

A paper, Self-supervised Multimodal Graph Convolutional Network for Collaborative Filtering, is accepted at the Information Sciences Journal. (A joint work with NAVER and Korea Univ.)

Aug 2023

A paper, Toward a Better Understanding of Loss Functions for Collaborative Filtering, is accepted at CIKM 2023.

May 2023

A paper, Exploiting Relation-aware Attribute Representation Learning in Knowledge Graph Embedding for Numerical Reasoning, is accepted to SIGKDD 2023. Congratulations, Sookyung, Gayeong, and Heesoo!

April 2023

A result of collaboration with IBM Research is accepted in Expert Systems with Applications Journal.

Jan. 2023

Welcome our new students (Juann, Geonhee, Wooseok, Minku, and Jaehyun)!

Jan. 2023

A paper, Dual Policy Learning for Aggregation Optimization in Recommender Systems, is accepted at The Web Conference 2023. Congratulations, Heesoo!

Dec. 2022

A paper, Stretchable Array sEMG Sensor with Graph Neural Network for Static and Dynamic Gestures Recognition System, is accepted at npj Flexible Electronics (JCR Rank- 3.8%). Congraturations, Soyoung and Heesoo!

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