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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)

Paper ID
14298
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
11,014 | 24.44%
DOI
10.14778/3750601.3750630

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Authors

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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