| 10,251 |
Towards the Scheduling of Vertex-constrained Multi Subgraph Matching Query |
2020 |
SIGMOD |
5.0501823e-05 |
| 10,252 |
VIP-Tree: An Effective Index for Indoor Spatial Queries |
2017 |
VLDB |
5.0501823e-05 |
| 10,253 |
Top-k Relevant Semantic Place Retrieval on Spatial RDF Data |
2016 |
SIGMOD |
5.0501823e-05 |
| 10,254 |
Accelerating Analytics with Dynamic In-Memory Expressions |
2016 |
VLDB |
5.0501823e-05 |
| 10,255 |
An Extendable Framework for Managing Uncertain Spatio-Temporal Data |
2014 |
SIGMOD |
5.0501823e-05 |
| 10,256 |
AnyBlox: A Framework for Self-Decoding Datasets |
2025 |
VLDB |
5.0495724e-05 |
| 10,257 |
PROPOLIS: Provisioned Analysis of Data-Centric Processes |
2013 |
VLDB |
5.0490212e-05 |
| 10,258 |
TenGraph: A Tensor-Based Graph Query Engine |
2024 |
VLDB |
5.0489964e-05 |
| 10,259 |
BEE: Towards Redundancy Reduction via Block-Separator Decomposition for Subgraph Matching |
2026 |
SIGMOD |
5.0480912e-05 |
| 10,260 |
A Comprehensive Survey of Subgraph Matching: [Experiments & Analysis] |
2026 |
SIGMOD |
5.0480912e-05 |
| 10,261 |
Accelerating Skyline Path Enumeration with a Core Attribute Index on Multi-attribute Graphs |
2025 |
SIGMOD |
5.0480912e-05 |
| 10,262 |
Integral Densest Subgraph Search on Directed Graphs |
2025 |
SIGMOD |
5.0480912e-05 |
| 10,263 |
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch |
2025 |
VLDB |
5.0480912e-05 |
| 10,264 |
Accelerating Subgraph Matching through Fine-grained and Powerful Equivalences |
2025 |
VLDB |
5.0480912e-05 |
| 10,265 |
From Scale-Up to Scale-Out: PolarDB’s Journey to Achieving 2 Billion tpmC |
2025 |
VLDB |
5.0480912e-05 |
| 10,266 |
MSGNN: Masked Schema based Graph Neural Networks |
2025 |
VLDB |
5.0480912e-05 |
| 10,267 |
Efficient High-Quality Clustering for Large Bipartite Graphs |
2024 |
SIGMOD |
5.0480912e-05 |
| 10,268 |
Automating Vectorized Distributed Graph Computation |
2024 |
SIGMOD |
5.0480912e-05 |
| 10,269 |
BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank |
2024 |
VLDB |
5.0480912e-05 |
| 10,270 |
EFFICIENT PROCESSING OF RELATIONAL CALCULUS EXPRESSIONS USING RANGE QUERY THEORY (Extended Abstract) |
1984 |
SIGMOD |
5.0480912e-05 |
| 10,271 |
A BAD Demonstration: Towards Big Active Data |
2017 |
VLDB |
5.0470552e-05 |
| 10,272 |
Shared Load(ing): Efficient Bulk Loading into Optimized Storage |
2020 |
CIDR |
5.0469592e-05 |
| 10,273 |
Darwin: Scale-In Stream Processing |
2022 |
CIDR |
5.0468382e-05 |
| 10,274 |
Keep Your Distributed Data Warehouse Consistent at a Minimal Cost |
2023 |
SIGMOD |
5.0467517e-05 |
| 10,275 |
On Saving Outliers for Better Clustering over Noisy Data |
2021 |
SIGMOD |
5.0466043e-05 |
| 10,276 |
GraphMatch: Subgraph Query Processing on Steroids |
2026 |
SIGMOD |
5.0461162e-05 |
| 10,277 |
G-View: View Management for Graph Databases |
2025 |
VLDB |
5.0461162e-05 |
| 10,278 |
TuskFlow: An Efficient Graph Database for Long-Running Transactions |
2025 |
VLDB |
5.0461162e-05 |
| 10,279 |
Improving Graph Compression for Efficient Resource-Constrained Graph Analytics |
2024 |
VLDB |
5.0461162e-05 |
| 10,280 |
Succinct Graph Representations as Distance Oracles: An Experimental Evaluation |
2022 |
VLDB |
5.0461162e-05 |
| 10,281 |
MorphStore — In-Memory Query Processing based on Morphing Compressed Intermediates LIVE |
2019 |
SIGMOD |
5.0461162e-05 |
| 10,282 |
RDF Graph Alignment with Bisimulation |
2016 |
VLDB |
5.0461162e-05 |
| 10,283 |
Mining and Forecasting of Big Time-series Data |
2015 |
SIGMOD |
5.0461162e-05 |
| 10,284 |
Dias: Dynamic Rewriting of Pandas Code |
2024 |
SIGMOD |
5.0431349e-05 |
| 10,285 |
ElasticNotebook: Enabling Live Migration for Computational Notebooks |
2024 |
VLDB |
5.0431349e-05 |
| 10,286 |
Chukonu: A Fully-Featured High-Performance Big Data Framework that Integrates a Native Compute Engine into Spark |
2022 |
VLDB |
5.0431349e-05 |
| 10,287 |
Adaptive Sharding in Untrusted Environments |
2026 |
SIGMOD |
5.042478e-05 |
| 10,288 |
Wait and See: A Delayed Transactions Partitioning Approach in Deterministic Database Systems for Better Performance |
2025 |
SIGMOD |
5.042478e-05 |
| 10,289 |
Optimal Sharding for Scalable Blockchains with Deconstructed SMR |
2025 |
VLDB |
5.042478e-05 |
| 10,290 |
Seer: Accelerating Blockchain Transaction Execution by Fine-Grained Branch Prediction |
2025 |
VLDB |
5.042478e-05 |
| 10,291 |
Towards Full Stack Adaptivity in Permissioned Blockchains |
2024 |
VLDB |
5.042478e-05 |
| 10,292 |
Spectrum: Speedy and Strictly-Deterministic Smart Contract Transactions for Blockchain Ledgers |
2024 |
VLDB |
5.042478e-05 |
| 10,293 |
AdaChain: A Learned Adaptive Blockchain |
2023 |
VLDB |
5.042478e-05 |
| 10,294 |
ChainDash: An Ad-Hoc Blockchain Data Analytics System |
2023 |
VLDB |
5.042478e-05 |
| 10,295 |
Request Window: an Approach to Improve Throughput of RDBMS-based Data Integration System by Utilizing Data Sharing Across Concurrent Distributed Queries |
2007 |
VLDB |
5.0422244e-05 |
| 10,296 |
This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch! |
2026 |
SIGMOD |
5.0407989e-05 |
| 10,297 |
Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents |
2026 |
VLDB |
5.0407989e-05 |
| 10,298 |
Andromeda: Debugging Database Performance Issues with Retrieval-Augmented Large Language Models |
2025 |
SIGMOD |
5.0407989e-05 |
| 10,299 |
D-Bot: An LLM-Powered DBA Copilot |
2025 |
SIGMOD |
5.0407989e-05 |
| 10,300 |
Data-Agnostic Cardinality Learning from Imperfect Workloads |
2025 |
VLDB |
5.0407989e-05 |