Papers by Heesoo Jung
Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning (2024.findings-acl)
Copied to clipboard
| Challenge: | Existing methods rely on linear sequential operations to solve First-Order Logic queries. |
| Approach: | They propose a model-agnostic approach that fully integrates the context of the query graph. |
| Outcome: | The proposed method improves performance on two datasets by 19.5%. |
Enhancing Complex Reasoning in Knowledge Graph Question Answering through Query Graph Approximation (2025.findings-acl)
Copied to clipboard
| Challenge: | Existing knowledge-grounded question answering frameworks lack essential triplets related to the questions . Existing approaches to knowledge-based QA are incomplete in the context of KGs . |
| Approach: | They propose a framework to provide answers to structured queries by leveraging Knowledge Graphs. |
| Outcome: | The proposed framework outperforms existing methods on QA tasks where KGs are incomplete . the framework is based on a set of data from a dataset of QA questions . |