| 696 |
Effective Community Search for Large Attributed Graphs |
2016 |
VLDB |
51 |
0.00014671367 |
| 1,233 |
Shortest Path and Distance Queries on Road Networks: Towards Bridging Theory and Practice |
2013 |
SIGMOD |
21 |
0.00011397529 |
| 1,405 |
Effective Community Search over Large Spatial Graphs |
2017 |
VLDB |
34 |
0.00010745719 |
| 2,667 |
Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores |
2020 |
SIGMOD |
40 |
8.1324472e-05 |
| 4,207 |
Proteus: A Self-Designing Range Filter |
2022 |
SIGMOD |
22 |
6.7226406e-05 |
| 4,688 |
TOAIN: A Throughput Optimizing Adaptive Index for Answering Dynamic kNN Queries on Road Networks |
2018 |
VLDB |
7 |
6.4517069e-05 |
| 4,901 |
Oasis: An Optimal Disjoint Segmented Learned Range Filter |
2024 |
VLDB |
14 |
6.3483238e-05 |
| 5,148 |
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization |
2022 |
VLDB |
10 |
6.2387892e-05 |
| 5,362 |
DMCS : Density Modularity based Community Search |
2022 |
SIGMOD |
9 |
6.1487755e-05 |
| 6,124 |
GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs |
2024 |
VLDB |
7 |
5.8623233e-05 |
| 6,137 |
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads |
2023 |
SIGMOD |
16 |
5.8576977e-05 |
| 6,927 |
DISKs: A System for Distributed Spatial Group Keyword Search on Road Networks |
2012 |
VLDB |
2 |
5.6280958e-05 |
| 7,081 |
C-Explorer: Browsing Communities in Large Graphs |
2017 |
VLDB |
5 |
5.5894444e-05 |
| 7,925 |
CAMAL: Optimizing LSM-trees via Active Learning |
2024 |
SIGMOD |
7 |
5.4086685e-05 |
| 8,041 |
Distributed Graph Embedding with Information-Oriented Random Walks |
2023 |
VLDB |
6 |
5.385603e-05 |
| 8,245 |
ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads |
2026 |
VLDB |
3 |
5.3556365e-05 |
| 8,342 |
How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice |
2025 |
SIGMOD |
4 |
5.3345258e-05 |
| 8,350 |
Machine Learning for Subgraph Extraction: Methods, Applications and Challenges |
2023 |
VLDB |
1 |
5.3325743e-05 |
| 9,084 |
Aster: Enhancing LSM-structures for Scalable Graph Database |
2025 |
SIGMOD |
4 |
5.2097768e-05 |
| 9,215 |
Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space |
2024 |
SIGMOD |
9 |
5.1921944e-05 |
| 9,270 |
TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning |
2024 |
VLDB |
1 |
5.1860131e-05 |
| 9,681 |
Are Joins over LSM-trees Ready? Take RocksDB as an Example |
2025 |
VLDB |
1 |
5.1258854e-05 |
| 9,959 |
Effective and Efficient Route Planning Using Historical Trajectories on Road Networks |
2023 |
VLDB |
1 |
5.0910746e-05 |
| 10,296 |
BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank |
2024 |
VLDB |
3 |
5.031399e-05 |
| 10,417 |
Replace or Augment: Rethinking the Role of Learned Indexes in Relational Databases |
2027 |
VLDB |
0 |
4.9605343e-05 |
| 10,456 |
Near-Optimality for Single-Source Personalized PageRank |
2026 |
PODS |
0 |
4.9605343e-05 |
| 10,490 |
Are Learned DBMS Components Robust to Workload Drift?: [Experiments & Analysis] |
2026 |
SIGMOD |
0 |
4.9605343e-05 |
| 10,597 |
A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness |
2026 |
SIGMOD |
0 |
4.9605343e-05 |
| 10,748 |
RadixGraph: A Fast, Space-Optimized Data Structure for Dynamic Graph Storage |
2026 |
SIGMOD |
0 |
4.9605343e-05 |
| 11,191 |
VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity |
2025 |
SIGMOD |
2 |
4.9605343e-05 |