Imagen de Portada

QJoin: Transformation-aware Joinable Data Discovery Using Reinforcement Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Ning, Galhotra, Sainyam
Formato:	Preprint
Publicado:	2025
Materias:	Databases Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

TQL: Towards Type-Driven Data Discovery
por: Kang, Andrew, et al.
Publicado: (2025)

Octopus: A Lightweight Entity-Aware System for Multi-Table Data Discovery and Cell-Level Retrieval
por: Li, Wen-Zhi, et al.
Publicado: (2026)

Towards General-Purpose Data Discovery: A Programming Languages Approach
por: Kang, Andrew, et al.
Publicado: (2025)

Pruning Minimal Reasoning Graphs for Efficient Retrieval-Augmented Generation
por: Wang, Ning, et al.
Publicado: (2026)

SIFOTL: A Principled, Statistically-Informed Fidelity-Optimization Method for Tabular Learning
por: Mohole, Shubham, et al.
Publicado: (2025)

VeriMinder: Mitigating Analytical Vulnerabilities in NL2SQL
por: Mohole, Shubham, et al.
Publicado: (2025)

Towards Reliable Testing of Machine Unlearning
por: Mazhar, Anna, et al.
Publicado: (2026)

Causal Fuzzing for Verifying Machine Unlearning
por: Mazhar, Anna, et al.
Publicado: (2025)

Debugging Concept Bottleneck Models through Removal and Retraining
por: Enouen, Eric, et al.
Publicado: (2025)

Intervention and Conditioning in Causal Bayesian Networks
por: Galhotra, Sainyam, et al.
Publicado: (2024)

A Theoretical Framework for Distribution-Aware Dataset Search
por: Esmailpour, Aryan, et al.
Publicado: (2025)

Trace-Level Analysis of Information Contamination in Multi-Agent Systems
por: Mazhar, Anna, et al.
Publicado: (2026)

GXJoin: Generalized Cell Transformations for Explainable Joinability
por: Omidvartehrani, Soroush, et al.
Publicado: (2025)

How Far Are We From True Auto-Research?
por: Zhang, Zhengxin, et al.
Publicado: (2026)

Fair and Actionable Causal Prescription Ruleset
por: Li, Benton, et al.
Publicado: (2025)

Evaluating Joinable Column Discovery Approaches for Context-Aware Search
por: Kokel, Harsha, et al.
Publicado: (2025)

Benchmarking Robust Aggregation in Decentralized Gradient Marketplaces
por: Song, Zeyu, et al.
Publicado: (2025)

Exploring the Heterogeneity of Tabular Data: A Diversity-aware Data Generator via LLMs
por: Tang, Yafeng, et al.
Publicado: (2025)

CHORUS: Foundation Models for Unified Data Discovery and Exploration
por: Kayali, Moe, et al.
Publicado: (2023)

Faster Algorithms for Fair Max-Min Diversification in $\mathbb{R}^d$
por: Kurkure, Yash, et al.
Publicado: (2024)

HyperJoin: LLM-augmented Hypergraph Link Prediction for Joinable Table Discovery
por: Liu, Shiyuan, et al.
Publicado: (2026)

SoftPipe: A Soft-Guided Reinforcement Learning Framework for Automated Data Preparation
por: Chang, Jing, et al.
Publicado: (2025)

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction
por: Chang, Jing, et al.
Publicado: (2025)

Metric $k$-clustering using only Weak Comparison Oracles
por: Raychaudhury, Rahul, et al.
Publicado: (2026)

TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
por: Khatiwada, Aamod, et al.
Publicado: (2024)

RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning
por: Chen, Minxiao, et al.
Publicado: (2025)

Cross-domain-aware Worker Selection with Training for Crowdsourced Annotation
por: Sun, Yushi, et al.
Publicado: (2024)

HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
por: Zhu, Qiuyu, et al.
Publicado: (2024)

SEAnet: A Deep Learning Architecture for Data Series Similarity Search
por: Wang, Qitong, et al.
Publicado: (2026)

Machine Learning-Based Pre-Test Risk Stratification for PCR-Confirmed Chlamydia Using Patient-Reported Data and Urine Biomarkers
por: Mahdian, Mehrab, et al.
Publicado: (2026)

Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion
por: Zhang, Jiasheng, et al.
Publicado: (2024)

Gaussian Relational Graph Transformer
por: Ding, Zezhong, et al.
Publicado: (2026)

Efficient Discovery of Significant Patterns with Few-Shot Resampling
por: Pellegrina, Leonardo, et al.
Publicado: (2024)

Compass: SLO-aware Query Planner for Compound AI Serving at Scale
por: Liu, Banruo, et al.
Publicado: (2025)

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

CroTad: A Contrastive Reinforcement Learning Framework for Online Trajectory Anomaly Detection
por: Xue, Rui, et al.
Publicado: (2025)

Graph2Region: Efficient Graph Similarity Learning with Structure and Scale Restoration
por: Liu, Zhouyang, et al.
Publicado: (2025)

GNN: Graph Neural Network and Large Language Model for Data Discovery
por: Hoang, Thomas
Publicado: (2024)

Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams
por: Shaowang, Ted, et al.
Publicado: (2025)

Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth
por: Yuan, Xinyu, et al.
Publicado: (2024)