PVLDB: Indexing, Scope and Published Papers

01Indexing

Indexing of PVLDB

From the indexing lists used on ScholarsColab, updated 1 March 2026. Indexing can change: confirm on the Web of Science Master Journal List or the Scopus source list before submitting. Official Journal Impact Factors and JCR quartiles are published by Clarivate; the impact factor on this page is calculated by ScholarsColab (see how the impact factor works).

02How to submit

How to submit to PVLDB

1. Read the guide for authors. It sets the article types, word limit, reference style and file format that PVLDB accepts. You find it on the journal's website, usually under "For authors".
2. Format to the journal's style. Check whether it wants a Word file, a LaTeX file or a PDF for the first submission, and follow its reference style; many journals accept any clear format at first and ask for their style only after acceptance.
3. Check the fit. Compare your title and abstract with the papers it has published; papers outside the scope are the most common reason for a desk rejection. The Journal Finder shows journals that published the closest work.
4. Check the fee. PVLDB is not a fully open access journal, so authors usually pay nothing unless they choose open access for their article or the journal charges page or colour fees. The guide for authors states the current charges.
5. Check your manuscript before you submit. The free Submission Readiness Check asks the seven questions our reviewers ask in every audit and takes about 2 minutes.

04Published papers

Papers published in PVLDB

Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.

1. Quantization Meets Projection: A Happy Marriage for Approximate k-Nearest Neighbor Search20260 citations
2. Agamotto: Scheduling of Deadline-Oriented Incremental Query Execution under Uncertain Resource Price20250 citations
3. Data imputation with limited data redundancy using data lakes20250 citations
4. Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning Based Approach20250 citations
5. Finding Time-Proximity Communities in Temporal Heterogeneous Information Networks20250 citations
6. Searching and Detecting Structurally Similar Communities in Large Heterogeneous Information Networks20250 citations
7. Evaluating Methods for Efficient Entity Count Estimation20250 citations
8. G-view: View management for graph databases20250 citations
9. Continuous publication of weighted graphs with local differential privacy20250 citations
10. Federated Incomplete Tabular Data Prediction with Missing Complementarity20250 citations
11. Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams20250 citations
12. Maximum k-Plex Finding: Choices of Pruning Techniques Matter!20250 citations
13. Truss decomposition in hypergraphs20250 citations
14. Saving Private Hash Join20250 citations
15. Graph Compression for Interpretable Graph Neural Network Inference At Scale20250 citations
16. Still Asking: How Good Are Query Optimizers, Really?20250 citations
17. Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing20250 citations
18. Not Small Enough? SegPQ: A Learned Approach to Compress Product Quantization Codebooks20250 citations
19. Towards ideal temporal graph neural networks: Evaluations and conclusions after 10,000 gpu hours20250 citations
20. How to optimize SQL queries? A comparison between split, holistic, and hybrid approaches20250 citations
21. LogLite: Lightweight Plug-and-Play Streaming Log Compression20250 citations
22. Streaming time series subsequence anomaly detection: A glance and focus approach20250 citations
23. Efficient Maintenance of 2-Hop Labeling Index on Dynamic Small-World Graphs20250 citations
24. Fair Transaction Processing for Multi-Tenant Databases20250 citations
25. Causal DAG Summarization20250 citations
26. Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression20250 citations
27. Privagm: Secure construction of differentially private directed attributed graph models on decentralized social graphs20250 citations
28. Scaling GPU-Accelerated Databases beyond GPU Memory Size20250 citations
29. Evaluating continuous queries with inconsistency annotations20250 citations
30. Machine Learning for Graph Data Management and Query Processing20250 citations
31. Planrgcn: predicting sparql query performance20250 citations
32. Selective Late Materialization in Modern Analytical Databases20250 citations
33. Hint-QPT: Hints for robust query performance tuning20250 citations
34. On More Efficiently and Versatilely Querying Historical k-Cores20250 citations
35. Burst: Rendering clustering techniques suitable for evolving streams20250 citations
36. When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction20250 citations
37. CLAD: Efficient Log Anomaly Detection Directly on Compressed Representations20250 citations
38. Fused Gromov-Wasserstein Alignment for Graph Edit Distance Computation and Beyond20250 citations
39. Bigst: Linear complexity spatio-temporal graph neural network for traffic forecasting on large-scale road networks20240 citations
40. GENTI: GPU-powered walk-based subgraph extraction for scalable representation learning on dynamic graphs20240 citations
41. COLOR: A framework for applying graph coloring to subgraph cardinality estimation20240 citations
42. TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version20240 citations
43. Counterfactual explanation of shapley value in data coalitions20240 citations
44. Contributions Estimation in Federated Learning: A Comprehensive Experimental Evaluation.20240 citations
45. Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph20240 citations
46. A blockchain system for clustered federated learning with peer-to-peer knowledge transfer20240 citations
47. Gnnflow: A distributed framework for continuous temporal gnn learning on dynamic graphs20240 citations
48. D3-gnn: Dynamic distributed dataflow for streaming graph neural networks20240 citations
49. HyperJoin: LLM-augmented Hypergraph Link Prediction for Joinable Table Discovery20240 citations
50. Etc: Efficient training of temporal graph neural networks over large-scale dynamic graphs20240 citations
51. LARGE: A length-aggregation-based grid structure for line density visualization20240 citations
52. GriDB: Scaling blockchain database via sharding and off-chain cross-shard mechanism20230 citations
53. Auto-tuning with reinforcement learning for permissioned blockchain systems20230 citations
54. Auxo: A scalable and efficient graph stream summarization structure20230 citations
55. Secure shapley value for cross-silo federated learning (technical report)20230 citations
56. Billion-scale bipartite graph embedding: A global-local induced approach20230 citations
57. Timecsl: Unsupervised contrastive learning of general shapelets for explorable time series analysis20230 citations
58. Imdiffusion: Imputed diffusion models for multivariate time series anomaly detection20230 citations
59. SettleFL: Trustless and Scalable Reward Settlement Protocol for Federated Learning on Permissionless Blockchains (Extended version)20230 citations
60. Missing value imputation for multi-attribute sensor data streams via message propagation20230 citations
61. Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs.20230 citations
62. On data-aware global explainability of graph neural networks20230 citations
63. Decoupled dynamic spatial-temporal graph neural network for traffic forecasting20220 citations
64. Efficient and error-bounded spatiotemporal quantile monitoring in edge computing environments20220 citations
65. Towards communication-efficient vertical federated learning training via cache-enabled local updates20220 citations
66. An in-depth study of continuous subgraph matching20220 citations
67. Towards event prediction in temporal graphs20220 citations
68. Parallel training of knowledge graph embedding models: a comparison of techniques20220 citations
69. Excalibur: A virtual machine for adaptive fine-grained jit-compiled query execution based on voila20220 citations
70. Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data20220 citations
71. Metro: a generic graph neural network framework for multivariate time series forecasting20220 citations
72. Efficient streaming subgraph isomorphism with graph neural networks20210 citations
73. Refiner: A reliable incentive-driven federated learning system powered by blockchain20210 citations
74. MDTP: A multi-source deep traffic prediction framework over spatio-temporal trajectory data20210 citations
75. Multi-modal transportation recommendation with unified route representation learning20210 citations
76. Accelerating large scale real-time GNN inference using channel pruning20210 citations
77. Large graph convolutional network training with GPU-oriented data communication architecture20200 citations
78. Eco-Friendly AI: Unleashing Data Power for Green Federated Learning20200 citations
79. DeepTRANS: a deep learning system for public bus travel time estimation using traffic forecasting20200 citations
80. Parallel Colorful ℎ-star Core Maintenance in Dynamic Graphs20200 citations
81. Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases20200 citations
82. Facilitating database tuning with hyper-parameter optimization: a comprehensive experimental evaluation20200 citations
83. Oebench: Investigating open environment challenges in real-world relational data streams20200 citations
84. Olive: Oblivious federated learning on trusted execution environment against the risk of sparsification20200 citations
85. Query performance prediction for concurrent queries using graph embedding20200 citations
86. EffiCANet: Efficient time series forecasting with convolutional attention20200 citations
87. Krul: Efficient State Restoration for Multi-turn Conversations with Dynamic Cross-layer KV Sharing20200 citations
88. A comparative evaluation of order-revealing encryption schemes and secure range-query protocols20190 citations

05Reviewer comments

06Similar journals

Journals similar to PVLDB

Journals that publish the closest work to the papers above:

• PLoS ONESCIEScopusJCR 202429 similar papers
• JOURNAL OF LATEX CLASS FILESNot listed in our indexing lists6 similar papers
• Transactions on Machine Learning ResearchNot listed in our indexing lists4 similar papers
• International Journal of Intelligent Engineering and SystemsScopus4 similar papers
• Front. NeurosciNot listed in our indexing lists5 similar papers
• Frontiers in NeuroscienceSCIEScopusJCR 202416 similar papers

07Questions

Frequently asked questions