GalaxyWeaver: Autonomous Table-to-Graph Conversion and Schema Optimization with Large Language Models
Summary: GalaxyWeaver uses prompt-guided LLM agents to autonomously transform relational tables into query-aware graph schemas, combining domain reasoning with optimization. Iterative refinement improves query performance and reduces storage without large training sets or manual design. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Bing Tong (CreateLink; Hong Kong University of Science and Technology)
- 2. Yan Zhou (CreateLink)
- 3. Chen Zhang (CreateLink)
- 4. Jianheng Tang (Hong Kong University of Science and Technology)
- 5. Jia Li (Hong Kong University of Science and Technology)
- 6. Lei Chen (Hong Kong University of Science and Technology)
BibTeX Citation
@article{tong_vldb25,
title = {{GalaxyWeaver: Autonomous Table-to-Graph Conversion and Schema Optimization with Large Language Models}},
author = {Tong, Bing and Zhou, Yan and Zhang, Chen and Tang, Jianheng and Li, Jia and Chen, Lei},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5100--5112},
doi = {10.14778/3750601.3750630},
url = {https://doi.org/10.14778/3750601.3750630},
year = {2025}
}
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