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Enumerating Graph Pattern Matches with ML Oracles
Summary: ML-guided SubIso enumeration: revise VF3 with an oracle that ranks candidate matches, then verify to prune backtracking. Establish EnumP-completeness plus sharp tradeoffs among output-polynomiality, consistency, and robustness; empirically up to 21x speedup.
(summarized by gpt-5-mini on Apr 11 2026)
- Paper ID
- 7474
- Venue
- SIGMOD
- Year
- 2026
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,163 | 29.30%
- DOI
-
10.1145/3786648
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Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 102 |
The Case for Learned Index Structures |
2018 |
SIGMOD |
0.00049545203 |
| 1,180 |
Efficient Subgraph Matching by Postponing Cartesian Products |
2016 |
SIGMOD |
0.00013456907 |
| 1,454 |
SAPPER: Subgraph Indexing and Approximate Matching in Large Graphs |
2010 |
VLDB |
0.00011913289 |
| 1,561 |
Efficient Subgraph Matching: Harmonizing Dynamic Programming, Adaptive Matching Order, and Failing Set Together |
2019 |
SIGMOD |
0.00011358946 |
| 1,775 |
CECI: Compact Embedding Cluster Index for Scalable Subgraph Matching |
2019 |
SIGMOD |
0.00010602927 |
| 2,200 |
LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms |
2016 |
VLDB |
9.3075881e-05 |
| 2,450 |
Functional Dependencies for Graphs |
2016 |
SIGMOD |
8.7882979e-05 |
| 3,036 |
RapidMatch: A Holistic Approach to Subgraph Query Processing |
2021 |
VLDB |
7.6735171e-05 |
| 3,187 |
Versatile Equivalences: Speeding up Subgraph Query Processing and Subgraph Matching |
2021 |
SIGMOD |
7.4136521e-05 |
| 3,641 |
GPU-Accelerated Subgraph Enumeration on Partitioned Graphs |
2020 |
SIGMOD |
6.8884895e-05 |
| 3,778 |
A Learned Sketch for Subgraph Counting |
2021 |
SIGMOD |
6.7747398e-05 |
| 4,470 |
GuP: Fast Subgraph Matching by Guard-based Pruning |
2023 |
SIGMOD |
6.1557462e-05 |
| 4,968 |
Efficient GPU-Accelerated Subgraph Matching |
2023 |
SIGMOD |
5.7956205e-05 |
| 6,281 |
A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction |
2024 |
SIGMOD |
5.128862e-05 |
| 6,441 |
Efficient Exact Subgraph Matching via GNN-based Path Dominance Embedding |
2024 |
VLDB |
5.0603113e-05 |
| 6,714 |
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks |
2024 |
SIGMOD |
4.9512171e-05 |
| 6,884 |
Lotan: Bridging the Gap between GNNs and Scalable Graph Analytics Engines |
2023 |
VLDB |
4.8955332e-05 |
| 7,289 |
DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning |
2024 |
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4.7747168e-05 |
| 7,675 |
Distributed Hop-Constrained s-t Simple Path Enumeration at Billion Scale |
2022 |
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4.6817479e-05 |
| 9,089 |
Efficient Distributed Hop-Constrained Path Enumeration on Large-Scale Graphs |
2024 |
SIGMOD |
4.39898e-05 |
| 9,727 |
MatCo: Computing Match Cover of Subgraph Query over Graph Data |
2025 |
SIGMOD |
4.2942813e-05 |
| 9,728 |
SPACE: Cardinality Estimation for Path Queries Using Cardinality-Aware Sequence-based Learning |
2025 |
SIGMOD |
4.2942813e-05 |
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