Welcome to the LearnData Lab

Machine Learning and Data Mining Research lab at SKKU

LearnData Lab develops machine learning systems that enable AI to reason over complex relational data.

We develop machine learning systems that reason over complex relational data, including social networks, knowledge graphs, and multi-modal structured information. Led by Prof. Hogun Park in the Department of Computer Science and Engieering at Sungkyunkwan University (SKKU), our lab bridges theoretical advances in graph learning with real-world, trustworthy AI applications.

Research Areas

1. Graph Representation Learning & Reasoning

We design scalable algorithms for modeling relational structure in knowledge graphs, interaction networks, behavioral logs, and multi-sensor data. This work supports emerging directions including GraphRAG, knowledge-grounded reasoning, and agent orchestration.

2. Explainable & Trustworthy AI

We develop methods to make deep learning models more transparent and reliable, from post-hoc explainability for GNNs to mechanistic interpretability of LLMs. Our work also addresses neural watermarking, knowledge editing, and the integration of symbolic reasoning into modern ML systems.

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We are looking for passionate new PhD students (or MS/PhD integrated program students) and Postdocs to join the team. (more info) !

Open positions are available for PhD students and Postdoctoral researchers. No opening for MS students for now.

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), Korea Creative Content Agency (KOCCA), LG Electronics, Samsung Research, NCSOFT, Samsung Display, and NAVER.