| 1,924 |
In-Memory Subgraph Matching: An In-depth Study |
2020 |
SIGMOD |
0.00010077055 |
| 2,275 |
Adopting Worst-Case Optimal Joins in Relational Database Systems |
2020 |
VLDB |
9.1262202e-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 |
| 3,287 |
GraphScope: A Unified Engine For Big Graph Processing |
2021 |
VLDB |
7.2739447e-05 |
| 3,511 |
Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs |
2022 |
VLDB |
7.0254052e-05 |
| 3,668 |
The LDBC Social Network Benchmark: Business Intelligence Workload |
2023 |
VLDB |
6.8591612e-05 |
| 3,729 |
Sortledton: a Universal, Transactional Graph Data Structure |
2022 |
VLDB |
6.8133526e-05 |
| 3,778 |
A Learned Sketch for Subgraph Counting |
2021 |
SIGMOD |
6.7747398e-05 |
| 4,012 |
Columnar Storage and List-based Processing for Graph Database Management Systems |
2021 |
VLDB |
6.5335884e-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 |
| 5,009 |
HUGE: An Efficient and Scalable Subgraph Enumeration System |
2021 |
SIGMOD |
5.761237e-05 |
| 5,231 |
ByteGraph: A High-Performance Distributed Graph Database in ByteDance |
2022 |
VLDB |
5.6145466e-05 |
| 5,493 |
Worst-Case Optimal Graph Joins in Almost No Space |
2021 |
SIGMOD |
5.4771449e-05 |
| 5,499 |
Symmetric Continuous Subgraph Matching with Bidirectional Dynamic Programming |
2021 |
VLDB |
5.4750222e-05 |
| 5,728 |
Circinus: Fast Redundancy-Reduced Subgraph Matching |
2023 |
SIGMOD |
5.3507988e-05 |
| 5,926 |
RapidFlow: An Efficient Approach to Continuous Subgraph Matching |
2022 |
VLDB |
5.271318e-05 |
| 6,208 |
PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration |
2021 |
SIGMOD |
5.1568586e-05 |
| 6,281 |
A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction |
2024 |
SIGMOD |
5.128862e-05 |
| 6,289 |
Cardinality Estimation of Subgraph Matching: A Filtering-Sampling Approach |
2024 |
VLDB |
5.1275309e-05 |
| 6,305 |
Free Join: Unifying Worst-Case Optimal and Traditional Joins |
2023 |
SIGMOD |
5.1209718e-05 |
| 6,395 |
An In-Depth Study of Continuous Subgraph Matching |
2022 |
VLDB |
5.0829204e-05 |
| 6,441 |
Efficient Exact Subgraph Matching via GNN-based Path Dominance Embedding |
2024 |
VLDB |
5.0603113e-05 |
| 6,639 |
Modern Techniques for Querying Graph-Structured Relations: Foundations, System Implementations, and Open Challenges |
2022 |
VLDB |
4.9801324e-05 |
| 6,704 |
Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation |
2021 |
SIGMOD |
4.9554912e-05 |
| 7,100 |
BICE: Exploring Compact Search Space by Using Bipartite Matching and Cell-Wide Verification |
2023 |
VLDB |
4.8326259e-05 |
| 7,123 |
ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation |
2024 |
SIGMOD |
4.8251036e-05 |
| 7,126 |
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics |
2025 |
SIGMOD |
4.8232367e-05 |
| 7,317 |
Accurate and Fast Approximate Graph Pattern Mining at Scale |
2025 |
VLDB |
4.7639399e-05 |
| 7,694 |
LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-Level CSR |
2024 |
SIGMOD |
4.6757592e-05 |
| 7,934 |
Fast Local Subgraph Counting |
2024 |
VLDB |
4.613363e-05 |
| 8,034 |
Instance-Optimal Acyclic Join Processing Without Regret: Engineering the Yannakakis Algorithm in Column Stores |
2025 |
VLDB |
4.6010599e-05 |
| 8,600 |
Making RDBMSs Efficient on Graph Workloads Through Predefined Joins |
2022 |
VLDB |
4.4876776e-05 |
| 9,267 |
PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware |
2024 |
SIGMOD |
4.3663649e-05 |
| 9,561 |
T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph |
2023 |
SIGMOD |
4.3254416e-05 |
| 9,728 |
SPACE: Cardinality Estimation for Path Queries Using Cardinality-Aware Sequence-based Learning |
2025 |
SIGMOD |
4.2942813e-05 |
| 9,730 |
TC-Match: Fast Time-constrained Continuous Subgraph Matching |
2024 |
VLDB |
4.2942813e-05 |
| 9,747 |
Still Asking: How Good Are Query Optimizers, Really? |
2025 |
VLDB |
4.2897489e-05 |
| 9,788 |
A Modular Graph-Native Query Optimization Framework |
2025 |
SIGMOD |
4.2818172e-05 |
| 9,916 |
TenGraph: A Tensor-Based Graph Query Engine |
2024 |
VLDB |
4.2561557e-05 |
| 10,084 |
GraphMatch: Subgraph Query Processing on Steroids |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,096 |
NeuSO: Neural Optimizer for Subgraph Queries |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,131 |
A Comprehensive Survey of Subgraph Matching: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,139 |
An Extensive Experimental Study of Indexes in Continuous Subgraph Matching:[Experiments & Analysis] |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,199 |
R2O: A Dual-Layer Framework for Joint Rewriting and Ordering in Distributed Property Graph Query Optimization |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,238 |
TurboLynx: Schemaless Graph Engine Strikes Back for General-Purpose Analytics |
2026 |
VLDB |
4.1945683e-05 |
| 10,264 |
CEMR: An Effective Subgraph Matching Algorithm with Redundant Extension Elimination |
2026 |
VLDB |
4.1945683e-05 |
| 10,292 |
Aquila: A High-Concurrency System for Incremental Graph Query |
2026 |
VLDB |
4.1945683e-05 |
| 10,488 |
HoneyComb: A Parallel Worst-Case Optimal Join on Multicores |
2025 |
SIGMOD |
4.1945683e-05 |