GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models

Summary: GIDCL applies Graph Neural Networks on graphified tables to exploit structural correlations for data cleaning. A creator-critic workflow with LLMs yields interpretable cleaning rules and minimal labeled-data features, achieving ~10% F1 with 20 tuples. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6985
Venue: SIGMOD
Year: 2024
Pagerank: 4.3484715e-05
Overall Rank: 9,354 | 34.99%
DOI: 10.1145/3698811

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,217	This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch!	2026	SIGMOD	4.1905499e-05
10,636	CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines	2025	VLDB	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 43 of 43 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
49	Consistent Query Answers in Inconsistent Databases	1999	PODS	0.00067607389
192	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00035692958
514	TURL: Table Understanding through Representation Learning	2021	VLDB	0.00021280726
516	Can Foundation Models Wrangle Your Data?	2023	VLDB	0.00021194444
556	Discovering Denial Constraints	2013	VLDB	0.00020214701
621	Improving Data Quality: Consistency and Accuracy	2007	VLDB	0.00018978331
788	ActiveClean: Interactive Data Cleaning For Statistical Modeling	2016	VLDB	0.00016618698
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
1,160	Towards Certain Fixes with Editing Rules and Master Data	2010	VLDB	0.0001358129
1,197	The LLUNATIC Data-Cleaning Framework	2013	VLDB	0.00013373177
1,214	Truth Finding on the Deep Web: Is the Problem Solved?	2013	VLDB	0.00013246179
1,340	HoloDetect: Few-Shot Learning for Error Detection	2019	SIGMOD	0.00012492795
1,403	Detecting Data Errors: Where are we and what needs to be done?	2016	VLDB	0.00012180046
1,544	KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing	2015	SIGMOD	0.00011438274
1,895	Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning	2020	VLDB	0.00010174634
2,161	Uni-Detect: A Unified Approach to Automated Error Detection in Tables	2019	SIGMOD	9.4029915e-05
2,177	A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data	2014	SIGMOD	9.371335e-05
2,258	Efficient Denial Constraint Discovery with Hydra	2018	VLDB	9.1804145e-05
2,308	Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions	2021	VLDB	9.0634287e-05
2,348	RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation	2021	VLDB	8.9903659e-05
2,484	Discovery of Approximate (and Exact) Denial Constraints	2020	VLDB	8.6737275e-05
2,507	Auto-Detect: Data-Driven Error Detection in Tables	2018	SIGMOD	8.6254741e-05
2,642	Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms	2016	VLDB	8.3925184e-05
2,968	Raha: A Configuration-Free Error Detection System	2019	SIGMOD	7.7964476e-05
3,448	Approximate Denial Constraints	2020	VLDB	7.081095e-05
4,271	Cleaning Denial Constraint Violations through Relaxation	2020	SIGMOD	6.2943273e-05
4,911	Temporal Rules Discovery for Web Data Cleaning	2016	VLDB	5.8349225e-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
5,810	Semandaq: A Data Quality System Based on Conditional Functional Dependencies	2008	VLDB	5.316886e-05
5,974	Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond	2021	SIGMOD	5.2458154e-05
6,188	Semi-Supervised Data Cleaning with Raha and Baran	2021	CIDR	5.1607275e-05
6,279	Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks	2023	VLDB	5.1241232e-05
6,348	NADEEF: A Generalized Data Cleaning System	2013	VLDB	5.0969173e-05
6,691	Parallel Discrepancy Detection and Incremental Detection	2021	VLDB	4.9573939e-05
7,062	On Multiple Semantics for Declarative Database Repairs	2020	SIGMOD	4.8398632e-05
7,868	Learning Over Dirty Data Without Cleaning	2020	SIGMOD	4.6276013e-05
8,363	Deducing Certain Fixes to Graphs	2019	VLDB	4.5311185e-05
8,875	CerFix: A System for Cleaning Data with Certain Fixes	2011	VLDB	4.426239e-05
9,380	Constraint-Variance Tolerant Data Repairing	2016	SIGMOD	4.3439402e-05
9,962	Parallel Rule Discovery from Large Datasets by Sampling	2022	SIGMOD	4.2254157e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
7,233	CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning	2017	VLDB	4.788267e-05
6,798	DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models	2024	SIGMOD	4.9186164e-05
7,868	Learning Over Dirty Data Without Cleaning	2020	SIGMOD	4.6276013e-05
830	Guided Data Repair	2011	VLDB	0.00016125759
10,285	Relational Deep Dive: Error-Aware Queries Over Unstructured Data	2026	VLDB	4.1905499e-05
6,279	Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks	2023	VLDB	5.1241232e-05
10,142	AutoDDG: Automated Dataset Description Generation using Large Language Models	2026	SIGMOD	4.1905499e-05
10,022	In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration	2026	SIGMOD	4.1905499e-05
198	Declarative Data Cleaning: Language, Model, and Algorithms	2001	VLDB	0.0003505869
5,470	RetClean: Retrieval-Based Data Cleaning Using LLMs and Data Lakes	2024	VLDB	5.4894925e-05