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Rule-Based Graph Cleaning with GPUs on a Single Machine
Summary: Rule-based graph cleaning on a single machine with GPU accel; MiniClean embeds ML predicates for discovery and correction. Memory-footprint reduction via bundling and compression; CPU-GPU-I/O pipeline with SIMD and parallelism to boost CPU-GPU synergy.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7229
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,496 | 27.06%
- DOI
-
10.1145/3725303
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 30 of 30 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 4 |
Pregel: A System for Large-Scale Graph Processing |
2010 |
SIGMOD |
0.0019040811 |
| 49 |
Consistent Query Answers in Inconsistent Databases |
1999 |
PODS |
0.00067607389 |
| 109 |
Dremel: Interactive Analysis of Web-Scale Datasets |
2010 |
VLDB |
0.00048217028 |
| 219 |
Deep Entity Matching with Pre-Trained Language Models |
2021 |
VLDB |
0.00033354456 |
| 293 |
Deep Learning for Entity Matching: A Design Space Exploration |
2018 |
SIGMOD |
0.00028661817 |
| 297 |
Complexity of Answering Queries Using Materialized Views |
1998 |
PODS |
0.00028572729 |
| 441 |
Parallelizing Sequential Graph Computations |
2017 |
SIGMOD |
0.00023172424 |
| 740 |
Distributed Representations of Tuples for Entity Resolution |
2018 |
VLDB |
0.00017358024 |
| 2,517 |
Dependencies for Graphs |
2017 |
PODS |
8.6058545e-05 |
| 2,728 |
Keys for Graphs |
2015 |
VLDB |
8.2228869e-05 |
| 3,287 |
GraphScope: A Unified Engine For Big Graph Processing |
2021 |
VLDB |
7.2689944e-05 |
| 3,420 |
CoroGraph: Bridging Cache Efficiency and Work Efficiency for Graph Algorithm Execution |
2024 |
VLDB |
7.1120128e-05 |
| 3,478 |
Functional Dependencies for Graphs |
2016 |
SIGMOD |
7.0554625e-05 |
| 3,488 |
GPU-Accelerated Subgraph Enumeration on Partitioned Graphs |
2020 |
SIGMOD |
7.0460627e-05 |
| 3,505 |
Efficient and Provable Multi-Query Optimization |
2017 |
PODS |
7.0304901e-05 |
| 3,525 |
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory |
2020 |
VLDB |
7.0071573e-05 |
| 3,644 |
G-CARE: A Framework for Performance Benchmarking of Cardinality Estimation Techniques for Subgraph Matching |
2020 |
SIGMOD |
6.8842065e-05 |
| 4,486 |
Multi-Query Optimization for Subgraph Isomorphism Search |
2017 |
VLDB |
6.1413967e-05 |
| 4,756 |
Efficient GPU-Accelerated Subgraph Matching |
2023 |
SIGMOD |
5.9364786e-05 |
| 6,661 |
Scalable Querying of Nested Data |
2021 |
VLDB |
4.9663934e-05 |
| 6,675 |
Exploiting Common Patterns for Tree-Structured Data |
2017 |
SIGMOD |
4.9615691e-05 |
| 7,120 |
Discovering Graph Functional Dependencies |
2018 |
SIGMOD |
4.8200122e-05 |
| 7,283 |
Discovering Association Rules from Big Graphs |
2022 |
VLDB |
4.7716465e-05 |
| 8,135 |
Towards Event Prediction in Temporal Graphs |
2022 |
VLDB |
4.5740737e-05 |
| 8,145 |
Capturing Associations in Graphs |
2020 |
VLDB |
4.5724134e-05 |
| 8,152 |
MiniGraph: Querying Big Graphs with a Single Machine |
2023 |
VLDB |
4.5711161e-05 |
| 8,363 |
Deducing Certain Fixes to Graphs |
2019 |
VLDB |
4.5311185e-05 |
| 9,489 |
Making It Tractable to Catch Duplicates and Conflicts in Graphs |
2023 |
SIGMOD |
4.3300131e-05 |
| 9,846 |
HyperBlocker: Accelerating Rule-based Blocking in Entity Resolution using GPUs |
2025 |
VLDB |
4.2680295e-05 |
| 11,711 |
Catching Numeric Inconsistencies in Graphs |
2018 |
SIGMOD |
4.1905499e-05 |
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| Overall Rank |
Paper |
Year |
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| 7,226 |
Self-adaptive Graph Traversal on GPUs |
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SIGMOD |
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| 4,578 |
Accelerating Dynamic Graph Analytics on GPUs |
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VLDB |
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| 4,525 |
GPU-based Graph Traversal on Compressed Graphs |
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| 3,488 |
GPU-Accelerated Subgraph Enumeration on Partitioned Graphs |
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| 6,983 |
CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression |
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| 4,249 |
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VLDB |
6.3173602e-05 |
| 10,276 |
gMatch: Fine-Grained and Hardware-Efficient Subgraph Matching on GPUs |
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VLDB |
4.1905499e-05 |
| 9,489 |
Making It Tractable to Catch Duplicates and Conflicts in Graphs |
2023 |
SIGMOD |
4.3300131e-05 |
| 8,152 |
MiniGraph: Querying Big Graphs with a Single Machine |
2023 |
VLDB |
4.5711161e-05 |
| 10,456 |
MiniClean: A Single-Machine System for Cleaning Big Graphs |
2025 |
SIGMOD |
4.1905499e-05 |