Cover Image

Selecting Walk Schemes for Database Embedding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lubarsky, Yuval Lev, Tönshoff, Jan, Grohe, Martin, Kimelfeld, Benny
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Incorporating Deep Learning Design in Database Queries
by: Lubarsky, Yuval Lev, et al.
Published: (2026)

Database Views as Explanations for Relational Deep Learning
by: Rissaki, Agapi, et al.
Published: (2025)

The Importance of Parameters in Database Queries
by: Gilad, Amir, et al.
Published: (2024)

Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs
by: Tönshoff, Jan, et al.
Published: (2025)

Using Database Dependencies to Constrain Approval-Based Committee Voting in the Presence of Context
by: Yona, Roi, et al.
Published: (2025)

Expressive Power of Deep Homomorphism Networks over Relational Databases
by: Schönherr, Moritz, et al.
Published: (2026)

The Shapley Value in Database Management
by: Bertossi, Leopoldo, et al.
Published: (2024)

Tractability Frontiers of the Shapley Value for Aggregate Conjunctive Queries
by: Standke, Christoph, et al.
Published: (2025)

Repairing Databases over Metric Spaces with Coincidence Constraints
by: Kaminsky, Youri, et al.
Published: (2024)

HAKES: Scalable Vector Database for Embedding Search Service
by: Hu, Guoyu, et al.
Published: (2025)

Analyzing Deviations from Monotonic Trends through Database Repair
by: Agmon, Shunit, et al.
Published: (2025)

Distinguished In Uniform: Self Attention Vs. Virtual Nodes
by: Rosenbluth, Eran, et al.
Published: (2024)

In-Database Data Imputation
by: Perini, Massimo, et al.
Published: (2024)

DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning
by: Wang, Yifan, et al.
Published: (2026)

Graph Neural Networks on Graph Databases
by: Lopushanskyy, Dmytro, et al.
Published: (2024)

Trading Vector Data in Vector Databases
by: Cheng, Jin, et al.
Published: (2025)

Computing Inconsistency Measures Under Differential Privacy
by: Mohapatra, Shubhankar, et al.
Published: (2025)

The Case for Instance-Optimized LLMs in OLAP Databases
by: Mohammadi, Bardia, et al.
Published: (2025)

The Complexity of Aggregates over Extractions by Regular Expressions
by: Doleschal, Johannes, et al.
Published: (2020)

A Unifying Perspective on Succinct Data Representations
by: Kimelfeld, Benny, et al.
Published: (2023)

Towards Establishing Guaranteed Error for Learned Database Operations
by: Zeighami, Sepanta, et al.
Published: (2024)

Fast Factorized Learning: Powered by In-Memory Database Systems
by: Stöckl, Bernhard, et al.
Published: (2025)

PRICE: A Pretrained Model for Cross-Database Cardinality Estimation
by: Zeng, Tianjing, et al.
Published: (2024)

CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases
by: Chronis, Yannis, et al.
Published: (2024)

Relational Database Distillation: From Structured Tables to Condensed Graph Data
by: Gao, Xinyi, et al.
Published: (2025)

RELOAD: A Robust and Efficient Learned Query Optimizer for Database Systems
by: Lee, Seokwon, et al.
Published: (2026)

IRG: Modular Synthetic Relational Database Generation with Complex Relational Schemas
by: Li, Jiayu, et al.
Published: (2023)

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving
by: Hu, Zhengding, et al.
Published: (2025)

Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases
by: Li, Ning, et al.
Published: (2025)

RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems
by: Ouyang, Biao, et al.
Published: (2025)

Direct Access for Answers to Conjunctive Queries with Aggregation
by: Eldar, Idan, et al.
Published: (2023)

Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation
by: Kathiriya, Niket, et al.
Published: (2024)

Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability
by: Zeighami, Sepanta, et al.
Published: (2024)

SpannerLib: Embedding Declarative Information Extraction in an Imperative Workflow
by: Light, Dean, et al.
Published: (2024)

L2T-Tune:LLM-Guided Hybrid Database Tuning with LHS and TD3
by: Yang, Xinyue, et al.
Published: (2025)

Observatory: Characterizing Embeddings of Relational Tables
by: Cong, Tianji, et al.
Published: (2023)

RelBench: A Benchmark for Deep Learning on Relational Databases
by: Robinson, Joshua, et al.
Published: (2024)

On Enhancing Root Cause Analysis with SQL Summaries for Failures in Database Workload Replays at SAP HANA
by: Jambigi, Neetha, et al.
Published: (2024)

WikiDBGraph: A Data Management Benchmark Suite for Collaborative Learning over Database Silos
by: Wu, Zhaomin, et al.
Published: (2025)

DemoTuner: Automatic Performance Tuning for Database Management Systems Based on Demonstration Reinforcement Learning
by: Dou, Hui, et al.
Published: (2025)