Relational Databases

Ask about this topic

Overview

Relational databases organize information into tables connected by keys, with SQL and integrity rules supporting reliable storage, updates, and analysis. Research improves how systems plan and tune queries, protect sensitive data, and integrate or document schemas; newer work also uses language models and agents to translate questions into SQL and explore databases. For learning from relational data, approaches include graph neural networks, relational transformers, and synthetic pretraining, evaluated on tasks such as RelBench as well as SQL benchmarks like Spider and BIRD. A central challenge is making systems dependable across large, unfamiliar schemas and SQL dialects while balancing accuracy, execution cost, privacy, and the complexity of specialized methods.

Latest papers

CardsList

80 papers5 papers in the last four weeks, down 50% on the four weeks before. 0.0% of all new papers.

  1. A Semantic-Layer-Mediated Agent for Natural Language to SQL over Heterogeneous Enterprise Databases

    Jun 30, 2026Ha Jeong Kim, Saksonita Khoeurn, Ye Ji YoonText-to-SQLRelational Databases

    DAQUV Corp. Seoul, Republic of Korea · Dept. of Management Information Systems Chungbuk National University BigDataLabs, Co., Ltd. Cheongju, Republic of Korea

  2. Database Context Compression for Text-to-SQL on Real-World Large Databases

    Jun 26, 2026Jingwen Liu, Weibin Liao, Xin Gao +2Text-to-SQLRelational Databases

    1National Engineering Research Center of Software Engineering, Peking University, Beijing, China · School of Computer Science, Peking University, Beijing, China · 3Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China +1

  3. Universal Encoders for Modular Relational Deep Learning

    Jun 19, 2026Jakub Peleška, Gustav ŠírRelational Foundation ModelsTabular Foundation Models

    Czech Technical University in Prague, Karlovo náměstí 13, Prague, 121 35, Czechia

  4. Towards Anomaly Detection on Relational Data

    Jun 17, 2026Shiyuan Li, Yunfeng Zhao, Yue Tan +3Reconstruction-Based Anomaly DetectionRelational Databases

    Griffith University · Guangxi University

  5. Querying an astronomical database using large language models: the ALeRCE text-to-SQL system

    Jun 16, 2026P. A. Estevez, J. Espejo-Moreira, S. Sanfeliu-Alvarez +10LLM PromptingAI-Assisted Scientific Research

    Department of Electrical Engineering, University of Chile, Av. Tupper 2007, Santiago, Chile · Millennium Institute of Astrophysics (MAS), Nuncio Monseñor Sótero Sanz 100, Providencia, Santiago, Chile · Departamento de Astronomía, Universidad de Chile, Casilla 36D, Santiago, Chile +11

  6. Neuro-Relational Programs: Unifying Queries and Neural Computation over Structured Data

    Jun 10, 2026Arie Soeteman, Balder ten Cate, Maurice Funk +3Graph Neural NetworksRelational Reasoning

    ILLC, University of Amsterdam, Netherlands · Leipzig University, Germany · ScaDS.AI Center Dresden/Leipzig, Germany +2

  7. What Makes a Desired Graph for Relational Deep Learning?

    Jun 7, 2026Yao Cheng, Siqiang LuoGraph Structure LearningGraph Neural Networks

    Nanyang Technological University, College of Computing and Data Science, Singapore.

  8. UniQL: Towards Dialect-Universal Benchmarking for Text-to-SQL

    Jun 6, 2026Jianling Gao, Chongyang Tao, Jiayuan Bai +7LLM EvaluationText-to-SQL

    1SKLCCSE, Beihang University · 2The University of Hong Kong

  9. ProSPy: A Profiling-Driven SQL-Python Agentic Framework for Enterprise Text-to-SQL

    Jun 4, 2026Zhaorui Yang, Huawei Zheng, Sen Yang +14Text-to-SQLRelational Databases

    1State Key Lab of CAD&CG, Zhejiang University · School of Software Technology, Zhejiang University · 3Tencent TEG +2

  10. OpenRFM: Dissecting Relational In-Context Learning

    Jun 3, 2026Zhikai Chen, Junyu Yin, Jialiang Gu +5Relational Foundation ModelsSynthetic Data Pretraining

    Michigan State University · George Mason University · Georgia Institute of Technology +1

  11. RelGT-AC: A Relational Graph Transformer for Autocomplete Tasks in Relational Databases

    Jun 2, 2026Phillip JiangRelational Deep LearningGraph Transformer

    Appsofa LLC

  12. SpecDB: LLM-Generated Customized Databases via Feature-Oriented Decomposition

    May 29, 2026Yunkai Lou, Longbin Lai, Shunyang Li +2Software EngineeringLLM-Based Program Synthesis

    Alibaba Group Hangzhou, China · Zhejiang GongshangYing ZhangUniversity Hangzhou, China

  13. Sophrosyne: Agentic Exploration of Relational Data Systems Needs Moderation

    May 29, 2026Madhav Jivrajani, Ramnatthan Alagappan, Aishwarya GanesanText-to-SQLTool-Using Language Agents

    University of Illinois Urbana-Champaign

  14. Incorporating Deep Learning Design in Database Queries

    May 22, 2026Yuval Lev Lubarsky, Dean Light, Boaz Berger +2Relational Deep LearningRelational Databases

    Technion · University of Washington · RelationalAI

  15. RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases

    May 22, 2026Jinyu Yang, Cheng Yang, Junze Chen +4Representation LearningSelf-Supervised Pre-Training

    Beijing University Of Posts and Telecommunications Beijing, China · Peng Cheng Laboratory Shenzhen, China · China Telecom Bestpay Beijing, China +1

  16. Is Fixing Schema Graphs Necessary? Full-Resolution Graph Structure Learning for Relational Deep Learning

    May 20, 2026Yi Huang, Qingyun Sun, Jia Li +2Graph Structure LearningGraph Neural Networks

    SKLCCSE, School of Computer Science and Engineering, Beihang University, Beijing, China · Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin, China

  17. AgentNLQ: A General-Purpose Agent for Natural Language to SQL

    May 18, 2026Olena Bogdanov, Yeunji Jung, Chandra Dhir +5Multi-Agent LLM SystemsLLM Agent Orchestration

    JPMorganChase

  18. Expressive Power of Deep Homomorphism Networks over Relational Databases

    May 18, 2026Moritz Schönherr, Balder ten Cate, Maurice Funk +3Logical ReasoningGraph Neural Networks

    Leipzig University · University of Amsterdam · Technion & RelationalAI

  19. Towards Foundation Models for Relational Databases with Language Models and Graph Neural Networks

    May 15, 2026Jingcheng Wu, Ratan Bahadur Thapa, Mojtaba Nayyeri +4Relational Foundation ModelsTabular Foundation Models

    University of Stuttgart, Stuttgart, Germany · Web and Internet Science Research Group, University of Southampton, Southampton, United Kingdom

  20. Gaussian Relational Graph Transformer

    May 15, 2026Zezhong Ding, Jin Li, Xugang Wang +1Graph Attention NetworksGraph Representation Learning

    School of Artificial Intelligence and Data Science, University of Science and Technology of China (USTC) · Data Darkness Lab, Suzhou Institute for Advanced Research, USTC · School of Biomedical Engineering, USTC +1

  21. On the Limitations of Large Language Models for Conceptual Database Modeling

    May 12, 2026Arthur F. Siqueira, Carlos D. S. Nogueira, Eduarda Farias +2LLM EvaluationLLM Prompting

    1Systems and Computing Department Federal University of Campina Grande (UFCG)2026 Campina Grande – PB – Brazil

  22. PolySQL: Scaling Text-to-SQL Evaluation Across SQL Dialects via Automated Backend Isomorphism

    May 8, 2026Yotam Perlitz, Elad Venezian, Corentin Royer +2Benchmark DesignText-to-SQL

    1IBM Research AI · 2ETH Zürich

  23. Inconsistent Databases and Argumentation Frameworks with Collective Attacks

    May 5, 2026Yasir Mahmood, Jonni Virtema, Timon Barlag +1Computational ArgumentationRelational Databases

    Data Science Group, Heinz Nixdorf Institute, Paderborn University, Germany · School of Computing Science, University of Glasgow, United Kingdom · School of Computer Science, University of Sheffield, United Kingdom +1

  24. FlexSQL: Flexible Exploration and Execution Make Better Text-to-SQL Agents

    May 4, 2026Quang Hieu Pham, Yang He, Ping Nie +5Execution-Guided Text-to-SQLText-to-SQL

    University of Alberta · Simon Fraser University · University of Waterloo +1

  25. EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement

    May 1, 2026Jiaqian Wang, Yutao Qi, Wenjin Hou +2Text-to-SQLRelational Databases

    Xidian University, Xi’an, Shaanxi 710071, China

  26. How Hard is it to Decide if a Fact is Relevant to a Query?

    Apr 24, 2026Meghyn Bienvenu, Diego Figueira, Pierre LafourcadeQuery ComplexityRelational Databases

    Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, F-33400, Talence, France

  27. RELOAD: A Robust and Efficient Learned Query Optimizer for Database Systems

    Apr 16, 2026Seokwon Lee, Jaeyoung Sim, Sihyun Kim +3Learning to OptimizeDatabase Systems

    Yonsei University BDAI Lab, Seoul 03722, South Korea · Microsoft Gray Systems Lab, Redmond, USA

  28. IndicDB -- Benchmarking Multilingual Text-to-SQL Capabilities in Indian Languages

    Apr 15, 2026Aviral Dawar, Roshan Karanth, Vikram Goyal +1Text-to-SQLMultilingual Language Model Evaluation

    Independent Researcher · BITS Pilani, Pilani, India · IIIT Delhi, New Delhi, India

  29. KumoRFM-2: Scaling Foundation Models for Relational Learning

    Apr 14, 2026Valter Hudovernik, Federico López, Vid Kocijan +4Relational ICLRelational Foundation Models

  30. AI-Driven Research for Databases

    Apr 8, 2026Audrey Cheng, Harald Ng, Aaron Kabcenell +5Automated Algorithm DiscoveryLarge Language Model-Guided Optimization

    UC Berkeley · KTH Royal Institute of Technology · Meta +3