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CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning
Summary: CtxPipe automates context-aware data-prep pipeline construction for ML using pretrained embeddings to capture semantics and guide component choice. A deep RL framework searches the pipeline, delivering higher feature quality and faster models.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7001
- Venue
- SIGMOD
- Year
- 2024
- Pagerank
- 4.4520434e-05
- Overall Rank
- 8,739 | 39.27%
- DOI
-
10.1145/3698831
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 514 |
TURL: Table Understanding through Representation Learning |
2021 |
VLDB |
0.00021280726 |
| 788 |
ActiveClean: Interactive Data Cleaning For Statistical Modeling |
2016 |
VLDB |
0.00016618698 |
| 917 |
Democratizing Data Science through Interactive Curation of ML Pipelines |
2019 |
SIGMOD |
0.00015324193 |
| 1,047 |
Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms |
2015 |
VLDB |
0.00014442219 |
| 1,403 |
Detecting Data Errors: Where are we and what needs to be done? |
2016 |
VLDB |
0.00012180046 |
| 1,629 |
Data Cleaning: Overview and Emerging Challenges |
2016 |
SIGMOD |
0.00011073148 |
| 2,122 |
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle |
2020 |
CIDR |
9.4905306e-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 |
| 2,456 |
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities |
2021 |
SIGMOD |
8.7649259e-05 |
| 3,107 |
Data X-Ray: A Diagnostic Tool for Data Errors |
2015 |
SIGMOD |
7.5549177e-05 |
| 3,448 |
Approximate Denial Constraints |
2020 |
VLDB |
7.081095e-05 |
| 3,473 |
Data Profiling – A Tutorial |
2017 |
SIGMOD |
7.0623537e-05 |
| 4,680 |
Scalable Discovery of Unique Column Combinations |
2014 |
VLDB |
5.9964535e-05 |
| 5,203 |
Pattern Functional Dependencies for Data Cleaning |
2020 |
VLDB |
5.628087e-05 |
| 5,439 |
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data |
2023 |
SIGMOD |
5.5034427e-05 |
| 6,431 |
Fundamentals of Order Dependencies |
2012 |
VLDB |
5.058289e-05 |
| 6,948 |
DataPrism: Exposing Disconnect between Data and Systems |
2022 |
SIGMOD |
4.8865863e-05 |
| 7,607 |
Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems |
2021 |
SIGMOD |
4.6931274e-05 |
| 7,717 |
WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model |
2022 |
VLDB |
4.6641687e-05 |
| 8,096 |
Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications |
2023 |
SIGMOD |
4.583522e-05 |
| 8,335 |
BugDoc: Algorithms to Debug Computational Processes |
2020 |
SIGMOD |
4.538972e-05 |
| 8,828 |
HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation |
2023 |
SIGMOD |
4.4364918e-05 |
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| 11,553 |
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CIDR |
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VLDB |
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VLDB |
5.5339832e-05 |
| 8,828 |
HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation |
2023 |
SIGMOD |
4.4364918e-05 |