| 1,500 |
Parallel Subgraph Listing in a Large-Scale Graph |
2014 |
SIGMOD |
0.00011674394 |
| 1,638 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
0.00011049779 |
| 1,895 |
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning |
2021 |
SIGMOD |
0.00010180896 |
| 1,941 |
Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing |
2018 |
SIGMOD |
0.00010017745 |
| 1,942 |
Heterogeneity-aware Distributed Parameter Servers |
2017 |
SIGMOD |
0.00010012691 |
| 2,677 |
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework |
2022 |
VLDB |
8.3268401e-05 |
| 2,762 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
8.1585394e-05 |
| 2,839 |
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition |
2021 |
VLDB |
8.0378978e-05 |
| 2,848 |
Exploiting Matrix Dependency for Efficient Distributed Matrix Computation |
2015 |
SIGMOD |
8.0208832e-05 |
| 3,506 |
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data |
2022 |
SIGMOD |
7.0291192e-05 |
| 3,522 |
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases |
2021 |
SIGMOD |
7.0096727e-05 |
| 3,751 |
BurstSketch: Finding Bursts in Data Streams |
2021 |
SIGMOD |
6.7888099e-05 |
| 3,808 |
SketchML: Accelerating Distributed Machine Learning with Data Sketches |
2018 |
SIGMOD |
6.7455428e-05 |
| 3,812 |
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation |
2022 |
VLDB |
6.7373184e-05 |
| 3,958 |
MLog: Towards Declarative In-Database Machine Learning |
2017 |
VLDB |
6.5897636e-05 |
| 4,165 |
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization |
2021 |
VLDB |
6.3921956e-05 |
| 4,439 |
TencentRec: Real-time Stream Recommendation in Practice |
2015 |
SIGMOD |
6.1885354e-05 |
| 4,473 |
LogGP: A Log-based Dynamic Graph Partitioning Method |
2014 |
VLDB |
6.1542362e-05 |
| 4,692 |
Supporting Frequent Updates in R-Trees: A Bottom-Up Approach |
2003 |
VLDB |
5.9958252e-05 |
| 4,791 |
An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs |
2015 |
VLDB |
5.9188595e-05 |
| 4,842 |
Towards Dynamic and Safe Configuration Tuning for Cloud Databases |
2022 |
SIGMOD |
5.8826802e-05 |
| 4,868 |
DBPA: A Benchmark for Transactional Database Performance Anomalies |
2023 |
SIGMOD |
5.8629636e-05 |
| 4,921 |
Efficient Cohesive Subgraphs Detection in Parallel |
2014 |
SIGMOD |
5.8237536e-05 |
| 4,964 |
PS2: Parameter Server on Spark |
2019 |
SIGMOD |
5.7965988e-05 |
| 4,975 |
An Experimental Evaluation of Large Scale GBDT Systems |
2019 |
VLDB |
5.79026e-05 |
| 5,015 |
Challenging the Long Tail Recommendation |
2012 |
VLDB |
5.7584513e-05 |
| 5,052 |
HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training |
2022 |
SIGMOD |
5.7337977e-05 |
| 5,211 |
Tornado: A System For Real-Time Iterative Analysis Over Evolving Data |
2016 |
SIGMOD |
5.6284829e-05 |
| 5,333 |
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce |
2021 |
SIGMOD |
5.5656575e-05 |
| 6,043 |
Operation-Aware Buffer Management in Flash-based Systems |
2011 |
SIGMOD |
5.2386942e-05 |
| 6,151 |
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning |
2024 |
VLDB |
5.183652e-05 |
| 6,357 |
PQCache: Product Quantization-based KVCache for Long Context LLM Inference |
2025 |
SIGMOD |
5.0970739e-05 |
| 6,377 |
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism |
2023 |
VLDB |
5.0911095e-05 |
| 6,379 |
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning |
2023 |
SIGMOD |
5.0909479e-05 |
| 6,483 |
Towards Unified Ad-hoc Data Processing |
2014 |
SIGMOD |
5.0456397e-05 |
| 6,498 |
Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs |
2020 |
SIGMOD |
5.0392468e-05 |
| 6,535 |
Effective Variation Management for Pseudo Periodical Streams |
2007 |
SIGMOD |
5.0243433e-05 |
| 6,566 |
Reliable Data Distillation on Graph Convolutional Network |
2020 |
SIGMOD |
5.0074274e-05 |
| 6,625 |
ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks |
2021 |
SIGMOD |
4.9889819e-05 |
| 6,789 |
An Experimental Evaluation of SimRank-based Similarity Search Algorithms |
2017 |
VLDB |
4.9251746e-05 |
| 6,790 |
On-Off Sketch: A Fast and Accurate Sketch on Persistence |
2021 |
VLDB |
4.9251439e-05 |
| 6,871 |
Towards General and Efficient Online Tuning for Spark |
2023 |
VLDB |
4.8997004e-05 |
| 6,980 |
OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine |
2024 |
VLDB |
4.8744298e-05 |
| 7,363 |
An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs |
2022 |
VLDB |
4.7523184e-05 |
| 7,536 |
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent |
2023 |
VLDB |
4.7176331e-05 |
| 7,732 |
Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items |
2023 |
SIGMOD |
4.6657123e-05 |
| 7,870 |
LadderFilter: Filtering Infrequent Items with Small Memory and Time Overhead |
2023 |
SIGMOD |
4.6308128e-05 |
| 8,126 |
SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training |
2023 |
VLDB |
4.5796615e-05 |
| 8,242 |
Hunting Temporal Bumps in Graphs with Dynamic Vertex Properties |
2022 |
SIGMOD |
4.551877e-05 |
| 8,250 |
Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation |
2022 |
VLDB |
4.5506131e-05 |