Theseus in the Graph: Towards Traceable Multi-Hop Graph Navigation
Multi-Hop Knowledge Graph Question Answering (KGQA) tasks require models to assemble relational evidence along paths in a KG to answer natural-language questions. However, existing KGQA systems typically focus on predicting the final answer without explicitly modeling or validating the intermediate reasoning steps, obscuring whether the correct answers arise from faithful multi-hop reasoning. To address this limitation, we re-frame multi-hop KGQA as a question-conditioned graph navigation problem. We refer to this formulation as THESEUS - Traceable Hop-wise Evidence SEarch in a Unified Semantics. In this setting, an agent receives a KG, a question, and a topic entity, and traverses a sequ...
| Authors | Eduin E. Hernandez, Luis F. Garcia, Nurassyl Askar et al. |
|---|---|
| Primary category | cs.CL |
| Published | 13 September 2026 |
| Last updated at source | 13 September 2026 |
Connected in the knowledge graph
- HalcyonSolutions/KinshipDataset · cited by
- HalcyonSolutions/MQuAKE-STDataset · cited by
Models and datasets referencing this paper
- HalcyonSolutions/KinshipDataset
- HalcyonSolutions/MQuAKE-STDataset
Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.