Proceedings of the Vldb Endowment

Article	Citations
TranAD	240
Anomaly detection in time series	162
Decoupled dynamic spatial-temporal graph neural network for traffic forecasting	87
A comprehensive survey and experimental comparison of graph-based approximate nearest neighbor search	72
SlimChain	66
TURL	55
Are we ready for learned cardinality estimation?	54
Viper	52
TSB-UAD	51
SAND	51
Updatable learned index with precise positions	51
openGauss	48
Analyzing and mitigating data stalls in DNN training	46
An inquiry into machine learning-based automatic configuration tuning services on real-world database management systems	45
FACE	42
Can Foundation Models Wrangle Your Data?	41
Learned cardinality estimation	40
ByteGNN	40
ICS-GNN	39
Deep learning for blocking in entity matching	38
ByShard	38
TRACE	38
Fauce	37
FLAT	37
Exathlon	37

Cardinality estimation in DBMS	37
Dual-objective fine-tuning of BERT for entity matching	36
Understanding the idiosyncrasies of real persistent memory	36
FINEdex	35
Hierarchical core maintenance on large dynamic graphs	34
CGPTuner	34
Auctus	34
Volume under the surface	33
GeCo	33
tf.data	33
Dealer	33
Large graph convolutional network training with GPU-oriented data communication architecture	33
HET	32
RPT	32
CodexDB	31
OceanBase	31
AutoCTS	31
Missing value imputation on multidimensional time series	31
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity	30
A learned query rewrite system using Monte Carlo tree search	30
TGL	30
Constructing and analyzing the LSM compaction design space	30
Selective data acquisition in the wild for model charging	29
Flow-loss	29
QueryFormer	29
Building enclave-native storage engines for practical encrypted databases	29
GraphScope	29
Multi-modal transportation recommendation with unified route representation learning	29
Hybrid blockchain database systems	28
Efficient size-bounded community search over large networks	28
Data management in microservices	28
Efficiently answering reachability and path queries on temporal bipartite graphs	28
Randomized error removal for online spread estimation in data streaming	28
Frequency estimation under local differential privacy	28
Sancus	28
Query driven-graph neural networks for community search	28
SQLite	28
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel	27
Cost-Based or Learning-Based?	27
FREDE	27
Data synthesis via differentially private markov random fields	27
MDTP	27
APEX	26
Real-world trajectory sharing with local differential privacy	26
Elle	26
Optimizing inference serving on serverless platforms	25
Efficient maximal biclique enumeration for large sparse bipartite graphs	25
The art of balance	25
METRO	25
GRAIN	25

Facilitating database tuning with hyper-parameter optimization	25
FlexPushdownDB	25
UDO	24
Projected federated averaging with heterogeneous differential privacy	24
Lux	24
Epoch-based commit and replication in distributed OLTP databases	24
Towards cost-effective and elastic cloud database deployment via memory disaggregation	24
Hu-Fu	24
Unsupervised time series outlier detection with diversity-driven convolutional ensembles	23
Moneyball	23
Stingy sketch	23
Efficient bi-triangle counting for large bipartite networks	23
Data acquisition for improving machine learning models	23
NeuChain	23
Butterfly-core community search over labeled graphs	22
Persistent memory hash indexes	22
Decomposed bounded floats for fast compression and queries	22
Efficient label-constrained shortest path queries on road networks	22
Answering multi-dimensional range queries under local differential privacy	22
Accelerating large scale real-time GNN inference using channel pruning	22
RONIN	21
Netherite	21
Chimp	21
NBTree	21
Robust Query Driven Cardinality Estimation under Changing Workloads	21
Distributed hop-constrained s-t simple path enumeration at billion scale	21
Revisiting the design of LSM-tree Based OLTP storage engine with persistent memory	21
Integrating Data Lake Tables	20
Massively parallel algorithms for personalized pagerank	20
ConnectIt	20
From natural language processing to neural databases	20
CGM	20
Watermarks in stream processing systems	20
Machine learning for databases	20
Capturing and querying fine-grained provenance of preprocessing pipelines in data science	20
Refiner	19
Velox	19
Butterfly counting on uncertain bipartite graphs	19
Tailoring data source distributions for fairness-aware data integration	19
Manu	19
Are updatable learned indexes ready?	19
Make your database system dream of electric sheep	19
Distributed deep learning on data systems	19
Accelerating recommendation system training by leveraging popular choices	19
DSB	18
KDV-explorer	18
Fine-grained lineage for safer notebook interactions	18
(p,q)-biclique counting and enumeration for large sparse bipartite graphs	18
xFraud	18
VolcanoML	18
Semantics-Aware Dataset Discovery from Data Lakes with Contextualized Column-Based Representation Learning	18
Horizon	18
PLIN	18
LlamaTune	18
Efficient join algorithms for large database tables in a multi-GPU environment	18
Zero-shot cost models for out-of-the-box learned cost prediction	18
Nearest neighbor classifiers over incomplete information	18
How Large Language Models Will Disrupt Data Management	17
Towards instance-optimized data systems	17
An experimental evaluation and guideline for path finding in weighted dynamic network	17
Lero: A Learning-to-Rank Query Optimizer	17
Teseo and the analysis of structural dynamic graphs	17
Automated feature engineering for algorithmic fairness	17
Federated matrix factorization with privacy guarantee	17
Galvatron	17
DeepTEA	16
Bagua	16
GriDB: Scaling Blockchain Database via Sharding and Off-Chain Cross-Shard Mechanism	16
On analyzing graphs with motif-paths	16
Zen	16
SChain	16
Stacked filters	16
ThunderRW	16
On querying historical k-cores	16
The LDBC Social Network Benchmark	16
Astrid	16
New trends in high-D vector similarity search	16
CALYPSO	16
Learned Index: A Comprehensive Experimental Evaluation	16
From BERT to GPT-3 codex	16

Influence maximization in real-world closed social networks	15
Learned Index Benefits	15
Towards crowd-aware indoor path planning	15
The case for NLP-enhanced database tuning	15
Effective community search over large star-schema heterogeneous information networks	15
PR-sketch	15
Babelfish	15
Spooky	15
Efficient and effective data imputation with influence functions	15
DLCR	15
Local algorithms for distance-generalized core decomposition over large dynamic graphs	15
Crystal	15
Distributed learning of fully connected neural networks using independent subnet training	15
DBMind	14
Cosine	14
Scalable mining of maximal quasi-cliques	14
LOGER: A Learned Optimizer Towards Generating Efficient and Robust Query Execution Plans	14
Diversified top- k route planning in road network	14
Auto-pipeline	14
Finding group Steiner trees in graphs with both vertex and edge weights	14
Time series data encoding for efficient storage	14
Managing ML pipelines	14
Tensor relational algebra for distributed machine learning system design	14
Comprehensive and efficient workload compression	14
Efficient streaming subgraph isomorphism with graph neural networks	14
COMET	14
SNARF	14
Symmetric continuous subgraph matching with bidirectional dynamic programming	14
Tensors	14
A demonstration of KGLac	13
HVS	13
Ginex	13
The case for distributed shared-memory databases with RDMA-enabled memory disaggregation	13
Redy	13
Adaptive data augmentation for supervised learning over missing data	13
Optimizing in-memory database engine for AI-powered on-line decision augmentation using persistent memory	13
Hazelcast jet	13
CARMI	13
PromptEM	13
TreeLine	13
Hardware acceleration of compression and encryption in SAP HANA	13
Shortest paths and centrality in uncertain networks	13
OpBoost	13
KLL ± approximate quantile sketches over dynamic datasets	13
Parallel discrepancy detection and incremental detection	13
FastFlow: Accelerating Deep Learning Model Training with Smart Offloading of Input Data Pipeline	13
LargeEA	13
Ananke	13
NFL	13
RapidFlow	13
Kamino	13
Designing an open framework for query optimization and compilation	12
Scaling replicated state machines with compartmentalization	12
Locater	12
YeSQL	12
A critical re-evaluation of neural methods for entity alignment	12
SetSketch	12
Automating incremental graph processing with flexible memoization	12
Automatic data acquisition for deep learning	12
Reliable community search in dynamic networks	12
Mainlining databases	12
Optimizing Video Analytics with Declarative Model Relationships	12
Deep indexed active learning for matching heterogeneous entity representations	12
The evolution of Amazon redshift	12
Orchestrating data placement and query execution in heterogeneous CPU-GPU DBMS	12
Operon	12
LDPTrace: Locally Differentially Private Trajectory Synthesis	12
Analyzing how BERT performs entity matching	12
Parallel training of knowledge graph embedding models	12
MT-teql	12
ByteHTAP	12
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes	12
Towards cost-optimal query processing in the cloud	12
Accelerating exact constrained shortest paths on GPUs	12
Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank	12
A neural database for differentially private spatial range queries	12
Extraction of Validating Shapes from Very Large Knowledge Graphs	11
Discovering association rules from big graphs	11
Towards communication-efficient vertical federated learning training via cache-enabled local updates	11
Influential Community Search over Large Heterogeneous Information Networks	11
An in-depth study of continuous subgraph matching	11
Query processing on tensor computation runtimes	11
DICE	11
Software-defined data protection	11
TimeEval	11
Efficient secure and verifiable location-based skyline queries over encrypted data	11
A critical analysis of recursive model indexes	11
Collective influence maximization for multiple competing products with an awareness-to-influence model	11
QARTA	11
DINOMO	11
Scabbard	11
CoroBase	11
DISTILL	11
SWS	11
Near-data processing in database systems on native computational storage under HTAP workloads	11