:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Peleška, Jakub, Šír, Gustav
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Databases
Online Access:	https://arxiv.org/abs/2506.22530
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

REDELEX: A Framework for Relational Deep Learning Exploration
by: Peleška, Jakub, et al.
Published: (2025)

Transformers Meet Relational Databases
by: Peleška, Jakub, et al.
Published: (2024)

Boosting Relational Deep Learning with Pretrained Tabular Models
by: Lachi, Veronica, et al.
Published: (2025)

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

Data-Agnostic Cardinality Learning from Imperfect Workloads
by: Wu, Peizhi, et al.
Published: (2025)

A Self-Explainable Heterogeneous GNN for Relational Deep Learning
by: Ferrini, Francesco, et al.
Published: (2024)

RELATE: A Schema-Agnostic Perceiver Encoder for Multimodal Relational Graphs
by: Meyer, Joe, et al.
Published: (2025)

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data
by: Papadias, Serafeim, et al.
Published: (2026)

Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases
by: Yin, Jun, et al.
Published: (2026)

Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets
by: Qiao, Lianpeng, et al.
Published: (2025)

KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
by: Kim, Jang-Hyun, et al.
Published: (2025)

RelGNN: Composite Message Passing for Relational Deep Learning
by: Chen, Tianlang, et al.
Published: (2025)

Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures
by: Dwivedi, Vijay Prakash, et al.
Published: (2025)

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

Optimize Cardinality Estimation Model Pretraining by Simplifying the Training Datasets
by: Fang, Boyang
Published: (2025)

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

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

TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis
by: Liang, Zhiyu, et al.
Published: (2024)

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

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

NeurStore: Efficient In-database Deep Learning Model Management System
by: Xiang, Siqi, et al.
Published: (2025)

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

Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond
by: Bărbulescu, George-Octavian, et al.
Published: (2024)

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

Gaussian Relational Graph Transformer
by: Ding, Zezhong, et al.
Published: (2026)

SchemaDB: Structures in Relational Datasets
by: Christopher, Cody James, et al.
Published: (2021)

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

Why Isn't Relational Learning Taking Over the World?
by: Poole, David
Published: (2025)

Benchmarking the Fidelity and Utility of Synthetic Relational Data
by: Hudovernik, Valter, et al.
Published: (2024)

Towards Universal Tabular Embeddings: A Benchmark Across Data Tasks
by: Vogel, Liane, et al.
Published: (2026)

Optimizing LLM Queries in Relational Data Analytics Workloads
by: Liu, Shu, et al.
Published: (2024)

Empowering Contrastive Federated Sequential Recommendation with LLMs
by: Nguyen, Thi Minh Chau, et al.
Published: (2026)

DATA-WA: Demand-based Adaptive Task Assignment with Dynamic Worker Availability Windows
by: Chen, Jinwen, et al.
Published: (2025)

CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
by: Li, Xiaoya, et al.
Published: (2025)

Relational In-Context Learning via Synthetic Pre-training with Structural Prior
by: Wang, Yanbo, et al.
Published: (2026)

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

Relation-Aware Bayesian Optimization of DBMS Configurations Guided by Affinity Scores
by: Kwon, Sein, et al.
Published: (2025)

"Cause" is Mechanistic Narrative within Scientific Domains: An Ordinary Language Philosophical Critique of "Causal Machine Learning"
by: Kungurtsev, Vyacheslav, et al.
Published: (2025)

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

Contributing Dimension Structure of Deep Feature for Coreset Selection
by: Wan, Zhijing, et al.
Published: (2024)