This journal is not listed in the SCIE, SSCI, AHCI, ESCI, Scopus or JCR 2024 lists. That does not make it unreliable, but check its indexing, peer review and fees carefully.
How to spot predatory journals →01Indexing
Indexing of PVLDB
| List | Status |
|---|---|
| Science Citation Index Expanded (SCIE) | Not listed |
| Social Sciences Citation Index (SSCI) | Not listed |
| Arts & Humanities Citation Index (AHCI) | Not listed |
| Emerging Sources Citation Index (ESCI) | Not listed |
| Scopus | Not listed |
| Journal Citation Reports 2024 | Not listed |
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 and quartile on this page are calculated from OpenAlex open data (see how the impact factor works).
02What it publishes
What PVLDB publishes: real papers
Words that appear most often in the titles of the papers published here that we track. Choose one to see those papers:
03Published papers
Papers published in PVLDB
Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.
- Quantization Meets Projection: A Happy Marriage for Approximate k-Nearest Neighbor Search20260 citations
- Searching and Detecting Structurally Similar Communities in Large Heterogeneous Information Networks20250 citations
- Evaluating Methods for Efficient Entity Count Estimation20250 citations
- Streaming time series subsequence anomaly detection: A glance and focus approach20250 citations
- Finding Time-Proximity Communities in Temporal Heterogeneous Information Networks20250 citations
- Saving Private Hash Join20250 citations
- Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing20250 citations
- Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams20250 citations
- Federated Incomplete Tabular Data Prediction with Missing Complementarity20250 citations
- LogLite: Lightweight Plug-and-Play Streaming Log Compression20250 citations
- Causal DAG Summarization20250 citations
- Burst: Rendering clustering techniques suitable for evolving streams20250 citations
- Towards ideal temporal graph neural networks: Evaluations and conclusions after 10,000 gpu hours20250 citations
- Privagm: Secure construction of differentially private directed attributed graph models on decentralized social graphs20250 citations
- Agamotto: Scheduling of Deadline-Oriented Incremental Query Execution under Uncertain Resource Price20250 citations
- When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction20250 citations
- Data imputation with limited data redundancy using data lakes20250 citations
- Fair Transaction Processing for Multi-Tenant Databases20250 citations
- On More Efficiently and Versatilely Querying Historical k-Cores20250 citations
- Truss decomposition in hypergraphs20250 citations
- Scaling GPU-Accelerated Databases beyond GPU Memory Size20250 citations
- Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression20250 citations
- Maximum k-Plex Finding: Choices of Pruning Techniques Matter!20250 citations
- G-view: View management for graph databases20250 citations
- How to optimize SQL queries? A comparison between split, holistic, and hybrid approaches20250 citations
- Efficient Maintenance of 2-Hop Labeling Index on Dynamic Small-World Graphs20250 citations
- Fused Gromov-Wasserstein Alignment for Graph Edit Distance Computation and Beyond20250 citations
- Graph Compression for Interpretable Graph Neural Network Inference At Scale20250 citations
- Evaluating continuous queries with inconsistency annotations20250 citations
- Hint-QPT: Hints for robust query performance tuning20250 citations
- Not Small Enough? SegPQ: A Learned Approach to Compress Product Quantization Codebooks20250 citations
- Planrgcn: predicting sparql query performance20250 citations
- Machine Learning for Graph Data Management and Query Processing20250 citations
- Still Asking: How Good Are Query Optimizers, Really?20250 citations
- Continuous publication of weighted graphs with local differential privacy20250 citations
- CLAD: Efficient Log Anomaly Detection Directly on Compressed Representations20250 citations
- Selective Late Materialization in Modern Analytical Databases20250 citations
- Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning Based Approach20250 citations
- D3-gnn: Dynamic distributed dataflow for streaming graph neural networks20240 citations
- LARGE: A length-aggregation-based grid structure for line density visualization20240 citations
- Bigst: Linear complexity spatio-temporal graph neural network for traffic forecasting on large-scale road networks20240 citations
- GENTI: GPU-powered walk-based subgraph extraction for scalable representation learning on dynamic graphs20240 citations
- HyperJoin: LLM-augmented Hypergraph Link Prediction for Joinable Table Discovery20240 citations
- Contributions Estimation in Federated Learning: A Comprehensive Experimental Evaluation.20240 citations
- Counterfactual explanation of shapley value in data coalitions20240 citations
- Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph20240 citations
- COLOR: A framework for applying graph coloring to subgraph cardinality estimation20240 citations
- Gnnflow: A distributed framework for continuous temporal gnn learning on dynamic graphs20240 citations
- A blockchain system for clustered federated learning with peer-to-peer knowledge transfer20240 citations
- TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version20240 citations
- Etc: Efficient training of temporal graph neural networks over large-scale dynamic graphs20240 citations
- SettleFL: Trustless and Scalable Reward Settlement Protocol for Federated Learning on Permissionless Blockchains (Extended version)20230 citations
- Secure shapley value for cross-silo federated learning (technical report)20230 citations
- Billion-scale bipartite graph embedding: A global-local induced approach20230 citations
- Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs.20230 citations
- GriDB: Scaling blockchain database via sharding and off-chain cross-shard mechanism20230 citations
- Missing value imputation for multi-attribute sensor data streams via message propagation20230 citations
- On data-aware global explainability of graph neural networks20230 citations
- Auto-tuning with reinforcement learning for permissioned blockchain systems20230 citations
- Auxo: A scalable and efficient graph stream summarization structure20230 citations
- Timecsl: Unsupervised contrastive learning of general shapelets for explorable time series analysis20230 citations
- Imdiffusion: Imputed diffusion models for multivariate time series anomaly detection20230 citations
- Efficient and error-bounded spatiotemporal quantile monitoring in edge computing environments20220 citations
- Towards communication-efficient vertical federated learning training via cache-enabled local updates20220 citations
- Towards event prediction in temporal graphs20220 citations
- Metro: a generic graph neural network framework for multivariate time series forecasting20220 citations
- An in-depth study of continuous subgraph matching20220 citations
- Decoupled dynamic spatial-temporal graph neural network for traffic forecasting20220 citations
- Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data20220 citations
- Parallel training of knowledge graph embedding models: a comparison of techniques20220 citations
- Excalibur: A virtual machine for adaptive fine-grained jit-compiled query execution based on voila20220 citations
- Efficient streaming subgraph isomorphism with graph neural networks20210 citations
- Accelerating large scale real-time GNN inference using channel pruning20210 citations
- Multi-modal transportation recommendation with unified route representation learning20210 citations
- MDTP: A multi-source deep traffic prediction framework over spatio-temporal trajectory data20210 citations
- Refiner: A reliable incentive-driven federated learning system powered by blockchain20210 citations
- Query performance prediction for concurrent queries using graph embedding20200 citations
- Oebench: Investigating open environment challenges in real-world relational data streams20200 citations
- Krul: Efficient State Restoration for Multi-turn Conversations with Dynamic Cross-layer KV Sharing20200 citations
- Olive: Oblivious federated learning on trusted execution environment against the risk of sparsification20200 citations
- Large graph convolutional network training with GPU-oriented data communication architecture20200 citations
- DeepTRANS: a deep learning system for public bus travel time estimation using traffic forecasting20200 citations
- Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases20200 citations
- Facilitating database tuning with hyper-parameter optimization: a comprehensive experimental evaluation20200 citations
- Eco-Friendly AI: Unleashing Data Power for Green Federated Learning20200 citations
- EffiCANet: Efficient time series forecasting with convolutional attention20200 citations
- Parallel Colorful ℎ-star Core Maintenance in Dynamic Graphs20200 citations
- A comparative evaluation of order-revealing encryption schemes and secure range-query protocols20190 citations
04Reviewer comments
Reviewer comments and rejection reasons for PVLDB
No reviewer or editor comments have been shared for this journal yet. Did you submit here? Help other researchers by sharing the comments you received, anonymously.
Share reviewer comments for this journal →Across the reviewer comments researchers have shared with us, the points raised most often are figures, tables and equations (21%), literature and references (12%) and novelty and contribution (10%). Before you submit to PVLDB, a Manuscript Audit by a PhD reviewer in your area checks your paper against exactly these points.
Audit my paper before I submit →Not sure yet? Check if your paper is ready for this journal: free, no AI, under 5 secondsPreparing to submit here? Make sure reviewers don't stop at the issues they raise most often. A PhD reviewer in your area can audit your manuscript section by section, and we can convert it into the journal's LaTeX template.
05Similar journals
Journals similar to PVLDB
Journals that publish the closest work to the papers above:
- PLoS ONESCIEScopusJCR 202424 similar papers
- JOURNAL OF LATEX CLASS FILESNot listed in our indexing lists4 similar papers
- Research ArticleNot listed in our indexing lists3 similar papers
- International Journal for Housing Science and Its ApplicationsScopus3 similar papers
- Computers, Materials and ContinuaScopus3 similar papers
- SustainabilitySCIESSCIScopusJCR 20244 similar papers
06Journal Finder
Find the right journal for your paper
Is PVLDB right for your paper? Compare journals
Paste your title, keywords or abstract. We match it against 164,212 published journal papers, by ScholarsColab mentors and other researchers, and show where the closest work appeared, with each journal’s indexing (SCIE, SSCI, AHCI, ESCI, Scopus, JCR 2024).
How it works: no AI or language model is used. Your words are matched against the titles of real published journal papers, by our mentors and by other researchers (shown without names); journals are ranked by how many closely matching papers they published. Indexing comes from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists, matched by journal name; “not found in our indexing lists” does not prove a journal is unindexed. Always check a journal’s scope and current indexing before submitting.
07Questions
Frequently asked questions
Is PVLDB indexed in Scopus?
PVLDB is not listed in the Scopus list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is PVLDB an SCIE journal?
PVLDB is not listed in SCIE or the other Web of Science indexes, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is PVLDB in Journal Citation Reports (JCR)?
PVLDB is not listed in the JCR 2024 list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
What topics does PVLDB publish?
The papers published in PVLDB that we track most often mention graph, learning, efficient, network, data, neural. Check the journal’s aims and scope for its full coverage.
How many papers published in PVLDB does ScholarsColab track?
We track 88 papers published in PVLDB between 2019 and 2026, cited 0 times in total, with a median of 0 citations per paper.
Want a PhD expert to choose the journal with you?
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