Exploiting Relation-aware Attribute Representation Learning in Knowledge Graph Embedding for Numerical Reasoning. - Gayeong Kim; Sookyung Kim; Ko Keun Kim; Suchan Park; Heesoo Jung; Hogun Park (KDD, 2023)

Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems. - Heesoo Jung; Sangpil Kim; Hogun Park (WWW, 2023)

Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning. - Jeonghoon Kim; Heesoo Jung; Hyeju Jang; Hogun Park (ACL (Findings), 2024)

Enhancing Complex Reasoning in Knowledge Graph Question Answering through Query Graph Approximation. - Hongjun Jeong; Minji Kim; Heesoo Jung; Ko Keun Kim; Hogun Park (ACL (Findings), 2025)

Enhancing Inductive Numerical Reasoning in Knowledge Graphs with Relation-Aware Relative Numeric Encoding. - Hongjun Jeong; Heesoo Jung; Gayeong Kim; Juann Kim; Ko Keun Kim; Hogun Park (PAKDD (2), 2025)

CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders. - Jongwon Park; Heesoo Jung; Hogun Park (WSDM, 2025)

Balancing Graph Embedding Smoothness in Self-supervised Learning via Information-Theoretic Decomposition. - Heesoo Jung; Hogun Park (WWW, 2025)