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Auto-Join: Joining Tables by Leveraging Transformations

Summary: Auto-Join automatically synthesizes transformation programs that reconcile heterogeneous textual representations before equi-joining tables. Its optimal sampling strategy enables scalable operator-space search with high-probability success, validated on web and enterprise data. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h8ccdb4d1bbcca74a
Venue
VLDB
Year
2017
Pagerank
8.2265197e-05
Overall Rank
2,612 | 82.44%
DOI
10.14778/3115404.3115414

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhu_vldb17,
        title = {{Auto-Join: Joining Tables by Leveraging Transformations}},
        author = {Zhu, Erkang and He, Yeye and Chaudhuri, Surajit},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {10},
        pages = {1034--1047},
        doi = {10.14778/3115404.3115414},
        url = {https://doi.org/10.14778/3115404.3115414},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 29 of 29 citing papers.

Rank Citing Paper Year Venue Pagerank
1,391 Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks 2020 SIGMOD 0.00010816237
1,978 Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks 2024 SIGMOD 9.2730152e-05
2,158 Open Data Integration 2018 VLDB 8.941016e-05
2,382 DeepJoin: Joinable Table Discovery with Pre-trained Language Models 2023 VLDB 8.5458532e-05
2,641 Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks 2020 SIGMOD 8.1787073e-05
2,745 Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations 2018 VLDB 8.0668395e-05
2,748 Uni-Detect: A Unified Approach to Automated Error Detection in Tables 2019 SIGMOD 8.0610697e-05
4,159 Integrating Data Lake Tables 2023 VLDB 6.7717519e-05
4,235 Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search 2021 VLDB 6.713221e-05
4,424 Auto-Transform: Learning-to-Transform by Patterns 2020 VLDB 6.6048065e-05
4,970 Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples 2021 SIGMOD 6.3329595e-05
5,097 Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V 2023 VLDB 6.2742361e-05
5,167 Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples 2023 VLDB 6.2462501e-05
5,276 MATE: Multi-Attribute Table Extraction 2022 VLDB 6.2002884e-05
5,529 Putting Things into Context: Rich Explanations for Query Answers using Join Graphs 2021 SIGMOD 6.0935553e-05
5,687 DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models 2024 SIGMOD 6.0360406e-05
7,097 Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs 2023 SIGMOD 5.601767e-05
7,197 Cross Modal Data Discovery over Structured and Unstructured Data Lakes 2023 VLDB 5.5890662e-05
7,526 Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence 2025 VLDB 5.5020723e-05
7,812 Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations 2024 SIGMOD 5.4486106e-05
7,928 TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations 2025 VLDB 5.4254488e-05
8,348 ConnectionLens: Finding Connections Across Heterogeneous Data Sources 2018 VLDB 5.3501859e-05
8,888 Optimized Batch Prompting for Cost-effective LLMs 2025 VLDB 5.2559789e-05
8,979 Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph 2023 VLDB 5.2443558e-05
10,418 BAT: Target-Instance-Free Data Preparation Synthesis via LLM-Driven Tree Search 2026 SIGMOD 4.9793485e-05
10,837 EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries 2026 VLDB 4.9793485e-05
10,869 DeepPrep: An LLM-Powered Agentic System for Autonomous Data Preparation 2026 VLDB 4.9793485e-05
10,894 MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery 2026 VLDB 4.9793485e-05
11,850 SPINE: Scaling up Programming-by-Negative-Example for String Filtering and Transformation 2022 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
435 Mining Database Structure; Or, How to Build a Data Quality Browser 2002 SIGMOD 0.0001832766
1,094 BlinkFill: Semi-supervised Programming By Example for Syntactic String Transformations 2016 VLDB 0.0001205355
1,115 Foofah: Transforming Data By Example 2017 SIGMOD 0.00011964111
1,958 iMAP: Discovering Complex Semantic Matches between Database Schemas 2004 SIGMOD 9.3145711e-05
3,304 Multi-column Substring Matching for Database Schema Translation 2006 VLDB 7.4426486e-05
3,748 Discovering Linkage Points over Web Data 2013 VLDB 7.0530039e-05
4,206 SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora 2015 VLDB 6.7348167e-05
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Semantically Similar Papers

# Overall Rank Paper Year Venue
1 2,220 String Similarity Joins: An Experimental Evaluation 2014 VLDB
2 1,345 Reverse Engineering Complex Join Queries 2013 SIGMOD
3 8,979 Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph 2023 VLDB
4 2,382 DeepJoin: Joinable Table Discovery with Pre-trained Language Models 2023 VLDB
5 4,424 Auto-Transform: Learning-to-Transform by Patterns 2020 VLDB
6 7,526 Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence 2025 VLDB
7 5,687 DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models 2024 SIGMOD
8 4,970 Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples 2021 SIGMOD
9 4,206 SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora 2015 VLDB
10 5,167 Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples 2023 VLDB