48th International Conference on Very Large Data Bases (VLDB 2022) Sydney, Australia, 5-9 September 2022 Part 1 of 6

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Körperschaften: International Conference on Very Large Data Bases (VerfasserIn), VLDB Endowment (Herausgebendes Organ)
Weitere Verfasser: Chang, Lijun (HerausgeberIn), Cao, Xin (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Red Hook, NY Curran Associates, Inc. 2023
Schriftenreihe:Proceedings of the VLDB Endowment volume 15
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Online Zugang:Inhaltsverzeichnis
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Titel Jahr Verfasser
A Learned Query Rewrite System using Monte Carlo Tree Search 2023 Zhou, Xuanhe
FACE: A Normalizing Flow based Cardinality Estimator 2023 Wang, Jiayi
Learned Cardinality Estimation: A Design Space Exploration and a Comparative Evaluation 2023 Sun, Ji
DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation 2023 He, Dong
(p,q)-biclique Counting and Enumeration for Large Sparse Bipartite Graphs 2023 Yang, Jianye
Distributed Hop-Constrained s-t Simple Path Enumeration at Billion Scale 2023 Hao, Kongzhang
Answering Regular Path Queries through Exemplars 2023 Chauhan, Komal
FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2023 Li, Pengfei
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation 2023 Lu, Yao
xFraud: Explainable Fraud Transaction Detection 2023 Rao, Susie Xi
SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization 2023 Chan, Tsz Nam
MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations 2023 Ma, Pingchuan
Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques 2023 Kochsiek, Adrian
ANN Softmax: Acceleration of Extreme Classification Training 2023 Zhao, Kang
WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model 2023 Yu, Gyeong-in
ETO: Accelerating Optimization of DNN Operators by High-Performance Tensor Program Reuse 2023 Fang, Jingzhi
Babelfish: Efficient Execution of Polyglot Queries 2023 Grulich, Philipp Marian
METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting 2023 Cui, Yue
LargeEA: Aligning Entities for Large-scale Knowledge Graphs 2023 Ge, Congcong
HVS: Hierarchical Graph Structure Based on Voronoi Diagrams for Solving Approximate Nearest Neighbor Search 2023 Lu, Kejing
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