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)
Incoming Non-self Citations Over Time
Authors
- 1. Shaofeng Cai
- 2. Kaiping Zheng
- 3. Gang Chen
- 4. H. V. Jagadish
- 5. Beng Chin Ooi
- 6. Meihui Zhang
Incoming Citations (Sorted by Pagerank)
Showing 15 of 15 citing papers.
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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 |
|---|---|---|---|---|
| 850 | Scaling Factorization Machines to Relational Data | 2013 | VLDB | 0.00015955971 |
| 1,279 | Towards Linear Algebra over Normalized Data | 2017 | VLDB | 0.00012868394 |
| 2,194 | Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra | 2019 | SIGMOD | 9.3138337e-05 |
| 4,613 | F-IVM: Learning over Fast-Evolving Relational Data | 2020 | SIGMOD | 6.0478676e-05 |
| 8,386 | PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery | 2021 | SIGMOD | 4.530141e-05 |
| 11,594 | TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications | 2020 | SIGMOD | 4.1945683e-05 |
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