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gMatch: Fine-Grained and Hardware-Efficient Subgraph Matching on GPUs
Summary: gMatch enables GPU subgraph matching with fine-grained execution, warp-level batch exploration, and lightweight load balancing, reducing memory overhead and thread underutilization. It outscales prior matchers and small-pattern miners on large queries and datasets.
(summarized by gpt-5.6-luna on Jul 09 2026)
- Paper ID
- 14315
- Venue
- VLDB
- Year
- 2026
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,276 | 28.59%
- DOI
-
10.14778/3811243.3811248
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 460 |
Graphs-at-a-time: Query Language and Access Methods for Graph Databases |
2008 |
SIGMOD |
0.00022679846 |
| 530 |
The LDBC Social Network Benchmark: Interactive Workload |
2015 |
SIGMOD |
0.00020823189 |
| 1,125 |
Efficient Subgraph Matching by Postponing Cartesian Products |
2016 |
SIGMOD |
0.00013829006 |
| 1,522 |
Efficient Subgraph Matching: Harmonizing Dynamic Programming, Adaptive Matching Order, and Failing Set Together |
2019 |
SIGMOD |
0.0001152219 |
| 1,715 |
CECI: Compact Embedding Cluster Index for Scalable Subgraph Matching |
2019 |
SIGMOD |
0.00010776518 |
| 1,906 |
In-Memory Subgraph Matching: An In-depth Study |
2020 |
SIGMOD |
0.00010135267 |
| 2,178 |
Real-Time Twitter Recommendation: Online Motif Detection in Large Dynamic Graphs |
2014 |
VLDB |
9.3645765e-05 |
| 2,799 |
DUALSIM: Parallel Subgraph Enumeration in a Massive Graph on a Single Machine |
2016 |
SIGMOD |
8.109137e-05 |
| 2,933 |
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU |
2020 |
VLDB |
7.8633648e-05 |
| 3,034 |
RapidMatch: A Holistic Approach to Subgraph Query Processing |
2021 |
VLDB |
7.6737281e-05 |
| 3,119 |
Versatile Equivalences: Speeding up Subgraph Query Processing and Subgraph Matching |
2021 |
SIGMOD |
7.5393376e-05 |
| 3,135 |
Fractal: A General-Purpose Graph Pattern Mining System |
2019 |
SIGMOD |
7.4928743e-05 |
| 3,488 |
GPU-Accelerated Subgraph Enumeration on Partitioned Graphs |
2020 |
SIGMOD |
7.0460627e-05 |
| 4,326 |
GuP: Fast Subgraph Matching by Guard-based Pruning |
2023 |
SIGMOD |
6.2772512e-05 |
| 4,756 |
Efficient GPU-Accelerated Subgraph Matching |
2023 |
SIGMOD |
5.9364786e-05 |
| 5,502 |
Circinus: Fast Redundancy-Reduced Subgraph Matching |
2023 |
SIGMOD |
5.4730826e-05 |
| 5,968 |
A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction |
2024 |
SIGMOD |
5.2469955e-05 |
| 6,283 |
Fast Continuous Subgraph Matching over Streaming Graphs via Backtracking Reduction |
2023 |
SIGMOD |
5.1234789e-05 |
| 7,456 |
BSX : Subgraph Matching with Batch Backtracking Search |
2025 |
SIGMOD |
4.7205339e-05 |
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| 10,084 |
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2023 |
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