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)
Incoming Non-self Citations Over Time
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,029 | Graph-Based Retrieval-Augmented Generation: Applications, Challenges, Solutions, and Opportunities | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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