Heesoo Jung

According to our database, Heesoo Jung authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Harnessing spatial dependency for domain generalization in multivariate time-series sensor data.

Jaehyun Bae, Heesoo Jung, Hogun Park

Expert Syst. Appl., 2026

2025

Balancing Graph Embedding Smoothness in Self-supervised Learning via Information-Theoretic Decomposition.

Heesoo Jung, Hogun Park

Proceedings of the ACM on Web Conference 2025, 2025

CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders.

Jongwon Park, Heesoo Jung, Hogun Park

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Harnessing Influence Function in Explaining Graph Neural Networks.

Heesoo Jung, Chanyong Kim, Geonhee Han, Hogun Park

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Enhancing Complex Reasoning in Knowledge Graph Question Answering through Query Graph Approximation.

Hongjun Jeong, Minji Kim, Heesoo Jung, Ko Keun Kim, Hogun Park

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning.

Jeonghoon Kim, Heesoo Jung, Hyeju Jang, Hogun Park

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems.

Heesoo Jung, Sangpil Kim, Hogun Park

Proceedings of the ACM Web Conference 2023, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023