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Efficient GPU-Accelerated Subgraph Matching
Summary: EGSM advances GPU-based subgraph matching with a Cuckoo Trie for candidate maintenance and on-the-fly vertex ordering using estimated counts. Memory-aware hybrid BFS/DFS enumeration mitigates explosion and memory pressure, outperforming GSI and CuTS.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h92804fbb53110f7b
Venue
SIGMOD
Year
2023
Pagerank
7.7512751e-05
Overall Rank
3,012 | 79.76%
DOI
10.1145/3589326
Incoming Non-self Citations Over Time
Authors
1.
Xibo Sun
(Hong Kong University of Science and Technology)
2.
Qiong Luo
(Hong Kong University of Science and Technology)
BibTeX Citation
Copy BibTeX
@inproceedings{sun_sigmod23,
title = {{Efficient GPU-Accelerated Subgraph Matching}},
author = {Sun, Xibo and Luo, Qiong},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3589326},
url = {https://dl.acm.org/doi/10.1145/3589326},
year = {2023}
}
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gSWORD: GPU-accelerated Sampling for Subgraph Counting
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5.0489964e-05
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GraphTwin: Cache-Centric Bit-Level Graph Representation for Fast and Exact Graph Queries
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Enumerating Graph Pattern Matches with ML Oracles
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4.9769913e-05
10,750
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4.9769913e-05
10,756
gMatch: Fine-Grained and Hardware-Efficient Subgraph Matching on GPUs
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4.9769913e-05
10,891
Efficient GPU-Accelerated Local Subgraph Counting
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4.9769913e-05
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Aquila: A High-Concurrency System for Incremental Graph Query
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4.9769913e-05
11,195
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4.9769913e-05
11,212
cuMatch: A GPU-based Memory-Efficient Worst-case Optimal Join Processing Method for Subgraph Queries with Complex Patterns
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4.9769913e-05
11,437
Mayura: Exploiting Similarities in Motifs for Temporal Co-Mining
2025
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4.9769913e-05
Outgoing Citations (Sorted by Pagerank)
Showing 25 of 25 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Venue
Pagerank
208
EmptyHeaded: A Relational Engine for Graph Processing
2016
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355
On Graph Query Optimization in Large Networks
2010
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0.00020116134
438
Taming Verification Hardness: An Efficient Algorithm for Testing Subgraph Isomorphism
2008
VLDB
0.00018278591
489
TurboISO: Towards UltraFast and Robust Subgraph Isomorphism Search in Large Graph Databases
2013
SIGMOD
0.00017440023
659
Efficient Subgraph Matching by Postponing Cartesian Products
2016
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0.00015048943
713
Optimizing Subgraph Queries by Combining Binary and Worst-Case Optimal Joins
2019
VLDB
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937
Real-time Constrained Cycle Detection in Large Dynamic Graphs
2018
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Efficient Subgraph Matching: Harmonizing Dynamic Programming, Adaptive Matching Order, and Failing Set Together
2019
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1,042
Parallel Subgraph Listing in a Large-Scale Graph
2014
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1,046
Graphflow: An Active Graph Database
2017
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0.00012316579
1,100
CECI: Compact Embedding Cluster Index for Scalable Subgraph Matching
2019
SIGMOD
0.00012007739
1,180
In-Memory Subgraph Matching: An In-depth Study
2020
SIGMOD
0.00011622165
1,252
Distributed Evaluation of Subgraph Queries Using Worst-case Optimal Low-Memory Dataflows
2018
VLDB
0.00011334813
1,572
Scalable Subgraph Enumeration in MapReduce
2015
VLDB
0.0001019315
1,901
Versatile Equivalences: Speeding up Subgraph Query Processing and Subgraph Matching
2021
SIGMOD
9.4014537e-05
2,017
RapidMatch: A Holistic Approach to Subgraph Query Processing
2021
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2,022
Scalable Distributed Subgraph Enumeration
2017
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9.1686153e-05
2,102
DUALSIM: Parallel Subgraph Enumeration in a Massive Graph on a Single Machine
2016
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9.0433983e-05
2,168
Subgraph Matching: on Compression and Computation
2018
VLDB
8.9292584e-05
2,202
Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores
2015
VLDB
8.8707587e-05
2,212
TurboFlux: A Fast Continuous Subgraph Matching System for Streaming Graph Data
2018
SIGMOD
8.8195478e-05
2,468
GPU-Accelerated Subgraph Enumeration on Partitioned Graphs
2020
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4,783
Symmetric Continuous Subgraph Matching with Bidirectional Dynamic Programming
2021
VLDB
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5,383
RapidFlow: An Efficient Approach to Continuous Subgraph Matching
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5,984
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