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Machine Learning for Graph Data Management and Query Processing

Summary: Tutorial survey of learning-based techniques for graph data management and query processing, addressing NP-hardness and approximation pitfalls. Synthesizes progress, then highlights scalability and adaptability as key open challenges. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14377
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
11,067 | 24.08%
DOI
10.14778/3750601.3750702

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BibTeX Citation

@article{wang_vldb25,
        title = {{Machine Learning for Graph Data Management and Query Processing}},
        author = {Wang, Hanchen and Zhang, Ying and Zhang, Wenjie},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {12},
        pages = {5499--5503},
        doi = {10.14778/3750601.3750702},
        url = {https://doi.org/10.14778/3750601.3750702},
        year = {2025}
}

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