Regularized Pairwise Relationship based Analytics for Structured Data

Summary: ATT-Reg: field-adaptive attentive regularization for pairwise attribute interactions in structured data. Bayesian-inspired adaptive regularization sets pairwise strengths from data and dependencies, boosting accuracy with interpretable feature attribution. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h5a47dee2b423f694
Venue: SIGMOD
Year: 2023
Pagerank: 4.9605343e-05
Overall Rank: 11,758 | 21.19%
DOI: 10.1145/3588936
PDF: Download (CC BY 4.0)

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Zhaojing Luo (National University of Singapore)
2. Shaofeng Cai (National University of Singapore)
3. Yatong Wang (University of Electronic Science and Technology of China)
4. Beng Chin Ooi (National University of Singapore)

BibTeX Citation

@inproceedings{luo_sigmod23,
        title = {{Regularized Pairwise Relationship based Analytics for Structured Data}},
        author = {Luo, Zhaojing and Cai, Shaofeng and Wang, Yatong and Ooi, Beng Chin},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3588936},
        url = {https://dl.acm.org/doi/10.1145/3588936},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,935	METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection	2024	VLDB	6.3343977e-05
6,566	Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System	2023	VLDB	5.728236e-05
8,569	Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs	2024	VLDB	5.2991861e-05
8,917	Optimized Batch Prompting for Cost-effective LLMs	2025	VLDB	5.2361195e-05
9,916	MINT: Detecting Fraudulent Behaviors from Time-series Relational Data	2023	VLDB	5.0983269e-05
10,659	AixelNet: A Pre-trained Model with Table-aware Adaptation for Structured Data Prediction	2026	SIGMOD	4.9605343e-05
10,670	AixelAsk: A Stepwise-Guided Retrieval and Reasoning Framework for Large Table QA	2026	SIGMOD	4.9605343e-05
11,604	Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems	2024	VLDB	4.9605343e-05

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
100	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00033951027
309	An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning	2019	SIGMOD	0.0002143249
411	QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning	2019	VLDB	0.0001874043
727	Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms	2015	VLDB	0.00014426954
783	To Join or Not to Join? Thinking Twice about Joins before Feature Selection	2016	SIGMOD	0.00014015599
851	Scaling Factorization Machines to Relational Data	2013	VLDB	0.00013448823
1,200	Towards Linear Algebra over Normalized Data	2017	VLDB	0.00011524945
1,282	AI Meets AI: Leveraging Query Executions to Improve Index Recommendations	2019	SIGMOD	0.00011197535
2,204	Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra	2019	SIGMOD	8.8531297e-05
3,282	Estimating Cardinalities with Deep Sketches	2019	SIGMOD	7.4491295e-05
4,513	ARM-Net: Adaptive Relation Modeling Network for Structured Data	2021	SIGMOD	6.5532548e-05
4,716	F-IVM: Learning over Fast-Evolving Relational Data	2020	SIGMOD	6.4389681e-05
12,141	TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications	2020	SIGMOD	4.9605343e-05

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