| 1,237 |
In-Memory Subgraph Matching: An In-depth Study |
2020 |
SIGMOD |
0.00011545768 |
| 1,740 |
Adopting Worst-Case Optimal Joins in Relational Database Systems |
2020 |
VLDB |
9.875587e-05 |
| 2,035 |
RapidMatch: A Holistic Approach to Subgraph Query Processing |
2021 |
VLDB |
9.2787188e-05 |
| 2,190 |
Versatile Equivalences: Speeding up Subgraph Query Processing and Subgraph Matching |
2021 |
SIGMOD |
8.9804702e-05 |
| 2,915 |
GraphScope: A Unified Engine For Big Graph Processing |
2021 |
VLDB |
7.9666977e-05 |
| 3,018 |
The LDBC Social Network Benchmark: Business Intelligence Workload |
2023 |
VLDB |
7.8473755e-05 |
| 3,027 |
Sortledton: a Universal, Transactional Graph Data Structure |
2022 |
VLDB |
7.8374092e-05 |
| 3,070 |
Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs |
2022 |
VLDB |
7.7900444e-05 |
| 3,102 |
Efficient GPU-Accelerated Subgraph Matching |
2023 |
SIGMOD |
7.7568687e-05 |
| 3,194 |
GuP: Fast Subgraph Matching by Guard-based Pruning |
2023 |
SIGMOD |
7.6491858e-05 |
| 3,283 |
A Learned Sketch for Subgraph Counting |
2021 |
SIGMOD |
7.56675e-05 |
| 3,357 |
Columnar Storage and List-based Processing for Graph Database Management Systems |
2021 |
VLDB |
7.4904874e-05 |
| 4,158 |
HUGE: An Efficient and Scalable Subgraph Enumeration System |
2021 |
SIGMOD |
6.8628196e-05 |
| 4,544 |
ByteGraph: A High-Performance Distributed Graph Database in ByteDance |
2022 |
VLDB |
6.6382612e-05 |
| 4,563 |
Circinus: Fast Redundancy-Reduced Subgraph Matching |
2023 |
SIGMOD |
6.6291459e-05 |
| 4,722 |
Symmetric Continuous Subgraph Matching with Bidirectional Dynamic Programming |
2021 |
VLDB |
6.5438628e-05 |
| 4,753 |
Worst-Case Optimal Graph Joins in Almost No Space |
2021 |
SIGMOD |
6.5231863e-05 |
| 4,983 |
A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction |
2024 |
SIGMOD |
6.4127092e-05 |
| 5,275 |
RapidFlow: An Efficient Approach to Continuous Subgraph Matching |
2022 |
VLDB |
6.2873652e-05 |
| 5,506 |
Accurate and Fast Approximate Graph Pattern Mining at Scale |
2025 |
VLDB |
6.1925892e-05 |
| 5,529 |
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics |
2025 |
SIGMOD |
6.18591e-05 |
| 5,781 |
Free Join: Unifying Worst-Case Optimal and Traditional Joins |
2023 |
SIGMOD |
6.0910397e-05 |
| 5,870 |
An In-Depth Study of Continuous Subgraph Matching |
2022 |
VLDB |
6.061038e-05 |
| 5,938 |
PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration |
2021 |
SIGMOD |
6.0343238e-05 |
| 5,942 |
Cardinality Estimation of Subgraph Matching: A Filtering-Sampling Approach |
2024 |
VLDB |
6.0334209e-05 |
| 6,149 |
Efficient Exact Subgraph Matching via GNN-based Path Dominance Embedding |
2024 |
VLDB |
5.9581422e-05 |
| 6,325 |
Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation |
2021 |
SIGMOD |
5.9125893e-05 |
| 6,387 |
Modern Techniques for Querying Graph-Structured Relations: Foundations, System Implementations, and Open Challenges |
2022 |
VLDB |
5.8896555e-05 |
| 6,393 |
BICE: Exploring Compact Search Space by Using Bipartite Matching and Cell-Wide Verification |
2023 |
VLDB |
5.8879832e-05 |
| 6,456 |
LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-Level CSR |
2024 |
SIGMOD |
5.8741786e-05 |
| 6,704 |
ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation |
2024 |
SIGMOD |
5.797374e-05 |
| 7,067 |
PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware |
2024 |
SIGMOD |
5.7120928e-05 |
| 7,386 |
Instance-Optimal Acyclic Join Processing Without Regret: Engineering the Yannakakis Algorithm in Column Stores |
2025 |
VLDB |
5.6273882e-05 |
| 8,251 |
Fast Local Subgraph Counting |
2024 |
VLDB |
5.4574671e-05 |
| 8,468 |
Making RDBMSs Efficient on Graph Workloads Through Predefined Joins |
2022 |
VLDB |
5.418656e-05 |
| 8,478 |
T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph |
2023 |
SIGMOD |
5.4170414e-05 |
| 9,617 |
NeuSO: Neural Optimizer for Subgraph Queries |
2026 |
SIGMOD |
5.2434488e-05 |
| 9,693 |
Subgraph Matching: A New Decomposition Based Approach |
2025 |
VLDB |
5.2351259e-05 |
| 9,867 |
SPACE: Cardinality Estimation for Path Queries Using Cardinality-Aware Sequence-based Learning |
2025 |
SIGMOD |
5.2043672e-05 |
| 9,872 |
TC-Match: Fast Time-constrained Continuous Subgraph Matching |
2024 |
VLDB |
5.2043672e-05 |
| 9,920 |
Still Asking: How Good Are Query Optimizers, Really? |
2025 |
VLDB |
5.1955087e-05 |
| 9,942 |
A Modular Graph-Native Query Optimization Framework |
2025 |
SIGMOD |
5.1915905e-05 |
| 10,060 |
TenGraph: A Tensor-Based Graph Query Engine |
2024 |
VLDB |
5.166346e-05 |
| 10,237 |
Factorized and Vectorized Execution: Optimizing Analytical and Semantic Queries over Relations |
2026 |
SIGMOD |
5.093636e-05 |
| 10,375 |
GraphMatch: Subgraph Query Processing on Steroids |
2026 |
SIGMOD |
5.093636e-05 |
| 10,419 |
A Comprehensive Survey of Subgraph Matching: [Experiments & Analysis] |
2026 |
SIGMOD |
5.093636e-05 |
| 10,420 |
SG-Serve: Efficient Model Serving for Subgraph-based Graph Representation Learning |
2026 |
SIGMOD |
5.093636e-05 |
| 10,428 |
An Extensive Experimental Study of Indexes in Continuous Subgraph Matching:[Experiments & Analysis] |
2026 |
SIGMOD |
5.093636e-05 |
| 10,488 |
R2O: A Dual-Layer Framework for Joint Rewriting and Ordering in Distributed Property Graph Query Optimization |
2026 |
SIGMOD |
5.093636e-05 |
| 10,526 |
TurboLynx: Schemaless Graph Engine Strikes Back for General-Purpose Analytics |
2026 |
VLDB |
5.093636e-05 |