NeuSO: Neural Optimizer for Subgraph Queries
Summary: Fixes poor heuristic vertex-orderings for subgraph enumeration with NeuSO, a learned optimizer for heterogeneous, schema-flexible graphs. It uses a compact query-graph encoder, multi-task cardinality+cost estimation, and a top-down enumerator to produce faster, higher-quality plans. (summarized by gpt-5-mini on Feb 11 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Linglin Yang (Peking University)
- 2. Lei Zou (Peking University)
- 3. Chunshan Zhao (Peking University)
BibTeX Citation
@inproceedings{yang_sigmod26,
title = {{NeuSO: Neural Optimizer for Subgraph Queries}},
author = {Yang, Linglin and Zou, Lei and Zhao, Chunshan},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3769810},
url = {https://dl.acm.org/doi/10.1145/3769810},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,506 | Sublime: Selecting Subgraph Matching Algorithms via Machine Learning | 2026 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 49 of 49 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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