Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks

Summary: Garf: a SeqGAN-based, self-supervised framework that extracts interpretable conditional repair rules (e.g., city→county) directly from noisy tables. A generator plus two discriminators (D to learn dependencies, D' to iteratively refine rules/data) yields interpretable, high-accuracy cleaning without labeled data. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13301
Venue: VLDB
Year: 2023
Pagerank: 5.1241232e-05
Overall Rank: 6,279 | 56.37%
DOI: 10.14778/3570690.3570694

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,991	TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications	2023	VLDB	4.4113784e-05
9,354	GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models	2024	SIGMOD	4.3484715e-05
9,855	In-Database Data Imputation	2024	SIGMOD	4.2652623e-05
10,520	The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series	2025	SIGMOD	4.1905499e-05
11,112	SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications	2024	VLDB	4.1905499e-05
11,140	Generalizable Data Cleaning of Tabular Data in Latent Space	2024	VLDB	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 25 of 25 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
192	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00035692958
268	A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification	2005	SIGMOD	0.00029739054
514	TURL: Table Understanding through Representation Learning	2021	VLDB	0.00021280726
556	Discovering Denial Constraints	2013	VLDB	0.00020214701
621	Improving Data Quality: Consistency and Accuracy	2007	VLDB	0.00018978331
830	Guided Data Repair	2011	VLDB	0.00016125759
879	Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes	2013	SIGMOD	0.00015649604
1,012	NADEEF: A Commodity Data Cleaning System	2013	SIGMOD	0.00014638349
1,047	Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms	2015	VLDB	0.00014442219
1,160	Towards Certain Fixes with Editing Rules and Master Data	2010	VLDB	0.0001358129
1,274	The Data Civilizer System	2017	CIDR	0.00012869297
1,403	Detecting Data Errors: Where are we and what needs to be done?	2016	VLDB	0.00012180046
1,405	Extending Dependencies with Conditions	2007	VLDB	0.00012174499
1,895	Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning	2020	VLDB	0.00010174634
2,348	RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation	2021	VLDB	8.9903659e-05
2,417	Combining Quantitative and Logical Data Cleaning	2016	VLDB	8.8502556e-05
2,968	Raha: A Configuration-Free Error Detection System	2019	SIGMOD	7.7964476e-05
3,198	Towards Dependable Data Repairing with Fixing Rules	2014	SIGMOD	7.4029546e-05
4,932	Data Auditor: Exploring Data Quality and Semantics using Pattern Tableaux	2010	VLDB	5.8163536e-05
5,150	Horizon: Scalable Dependency-driven Data Cleaning	2021	VLDB	5.6553571e-05
5,203	Pattern Functional Dependencies for Data Cleaning	2020	VLDB	5.628087e-05
5,626	Explaining Repaired Data with CFDs	2018	VLDB	5.4032498e-05
5,738	KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing	2015	VLDB	5.3454984e-05
5,881	Repairing Vertex Labels under Neighborhood Constraints	2014	VLDB	5.2872198e-05
6,348	NADEEF: A Generalized Data Cleaning System	2013	VLDB	5.0969173e-05

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Overall Rank	Paper	Year	Venue	Pagerank
9,650	DAFDiscover: Robust Mining Algorithm for Dynamic Approximate Functional Dependencies on Dirty Data	2024	VLDB	4.3067693e-05
1,629	Data Cleaning: Overview and Emerging Challenges	2016	SIGMOD	0.00011073148
5,026	Adaptive Data Augmentation for Supervised Learning over Missing Data	2021	VLDB	5.7451454e-05
9,354	GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models	2024	SIGMOD	4.3484715e-05
3,198	Towards Dependable Data Repairing with Fixing Rules	2014	SIGMOD	7.4029546e-05
10,521	Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables	2025	SIGMOD	4.1905499e-05
7,868	Learning Over Dirty Data Without Cleaning	2020	SIGMOD	4.6276013e-05
3,397	Automatic Data Repair: Are We Ready to Deploy?	2024	VLDB	7.1386386e-05
11,140	Generalizable Data Cleaning of Tabular Data in Latent Space	2024	VLDB	4.1905499e-05
6,188	Semi-Supervised Data Cleaning with Raha and Baran	2021	CIDR	5.1607275e-05