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)
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Authors
- 1. Hanchen Wang (University of Technology Sydney)
- 2. Ying Zhang (Zhejiang Gongshang University)
- 3. Wenjie Zhang (University of New South Wales)
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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