ARM-Net: Adaptive Relation Modeling Network for Structured Data

Summary: ARM-Net enables adaptive cross-feature modeling for structured data via exponential-space transforms and sparse attention. ARMOR, a lightweight relational analytics framework, delivers interpretable, per-tuple cross-feature usage with real-world gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: hcbe0bdf1ac651779
Venue: SIGMOD
Year: 2021
Pagerank: 6.5781098e-05
Overall Rank: 4,489 | 69.82%
DOI: 10.1145/3448016.3457321

Incoming Non-self Citations Over Time

Authors

1. Shaofeng Cai (National University of Singapore)
2. Kaiping Zheng (National University of Singapore)
3. Gang Chen (Zhejiang University)
4. H. V. Jagadish (University of Michigan)
5. Beng Chin Ooi (National University of Singapore)
6. Meihui Zhang (Beijing Institute of Technology)

BibTeX Citation

@inproceedings{cai_sigmod21,
        title = {{ARM-Net: Adaptive Relation Modeling Network for Structured Data}},
        author = {Cai, Shaofeng and Zheng, Kaiping and Chen, Gang and Jagadish, H. V. and Ooi, Beng Chin and Zhang, Meihui},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3457321},
        url = {https://dl.acm.org/doi/10.1145/3448016.3457321},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 17 of 17 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,449	Robust and Transferable Log-based Anomaly Detection	2023	SIGMOD	7.2931951e-05
4,707	PreQR: Pre-training Representation for SQL Understanding	2022	SIGMOD	6.4587914e-05
4,909	METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection	2024	VLDB	6.3584226e-05
8,385	NeurDB: On the Design and Implementation of an AI-powered Autonomous Database	2025	CIDR	5.3420959e-05
8,523	PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery	2021	SIGMOD	5.3231606e-05
9,212	Powering In-Database Dynamic Model Slicing for Structured Data Analytics	2024	VLDB	5.2060505e-05
9,654	FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data	2023	SIGMOD	5.1453267e-05
9,876	MINT: Detecting Fraudulent Behaviors from Time-series Relational Data	2023	VLDB	5.1176637e-05
10,430	CoShap: A Scalable Coalition Growth Approach to Shapley Value Approximation	2026	SIGMOD	4.9793485e-05
10,586	AixelNet: A Pre-trained Model with Table-aware Adaptation for Structured Data Prediction	2026	SIGMOD	4.9793485e-05
10,798	NeurIDA: Dynamic Modeling for Effective In-Database Analytics	2026	VLDB	4.9793485e-05
11,256	Birdie: Natural Language-Driven Table Discovery Using Differentiable Search Index	2025	VLDB	4.9793485e-05
11,501	NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention	2024	SIGMOD	4.9793485e-05
11,549	Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems	2024	VLDB	4.9793485e-05
11,553	OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams	2024	VLDB	4.9793485e-05
11,706	Regularized Pairwise Relationship based Analytics for Structured Data	2023	SIGMOD	4.9793485e-05
13,735	DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics	2022	VLDB	-

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
851	Scaling Factorization Machines to Relational Data	2013	VLDB	0.00013457975
1,256	Towards Linear Algebra over Normalized Data	2017	VLDB	0.00011314687
2,199	Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra	2019	SIGMOD	8.8750296e-05
4,699	F-IVM: Learning over Fast-Evolving Relational Data	2020	SIGMOD	6.4633894e-05
8,523	PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery	2021	SIGMOD	5.3231606e-05
12,091	TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications	2020	SIGMOD	4.9793485e-05

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