Imagen de Portada

Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yin, Jun, Huo, Peng, Zhu, Bangguo, Yan, Hao, Wang, Senzhang, Pan, Shirui, Zhang, Chengqi
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence Databases Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

Beyond the Aggregation Dilemma: Prior-Retaining Decoupled Learning for Multimodal Graphs
por: Yan, Hao, et al.
Publicado: (2026)

Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders
por: Yin, Jun, et al.
Publicado: (2026)

PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
por: Kothapalli, Vignesh, et al.
Publicado: (2026)

Griffin: Towards a Graph-Centric Relational Database Foundation Model
por: Wang, Yanbo, et al.
Publicado: (2025)

Serving Deep Learning Model in Relational Databases
por: Zhou, Lixi, et al.
Publicado: (2023)

RDBLearn: Simple In-Context Prediction Over Relational Databases
por: Zhang, Yanlin, et al.
Publicado: (2026)

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

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

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

Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
por: Ranjan, Rishabh, et al.
Publicado: (2025)

Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models
por: Luttermann, Malte, et al.
Publicado: (2024)

Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases
por: Kocijan, Vid, et al.
Publicado: (2026)

MoMQ: Mixture-of-Experts Enhances Multi-Dialect Query Generation across Relational and Non-Relational Databases
por: Lin, Zhisheng, et al.
Publicado: (2024)

Natural Language Query Engine for Relational Databases using Generative AI
por: Fotso, Steve Tueno
Publicado: (2024)

Top Ten Challenges Towards Agentic Neural Graph Databases
por: Bai, Jiaxin, et al.
Publicado: (2025)

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

Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases
por: Alam, Md. Tanvir, et al.
Publicado: (2025)

Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation
por: Zhu, Bangguo, et al.
Publicado: (2026)

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

Retrieval-Augmented Generation of Ontologies from Relational Databases
por: Nayyeri, Mojtaba, et al.
Publicado: (2025)

QueryGym: Step-by-Step Interaction with Relational Databases
por: Ananthakrishnan, Haritha, et al.
Publicado: (2025)

Relational Graph Transformer
por: Dwivedi, Vijay Prakash, et al.
Publicado: (2025)

Database Entity Recognition with Data Augmentation and Deep Learning
por: Fu, Zikun, et al.
Publicado: (2025)

Research Challenges in Relational Database Management Systems for LLM Queries
por: Akillioglu, Kerem, et al.
Publicado: (2025)

Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs
por: He, Yunjie, et al.
Publicado: (2023)

Towards Foundation Models for Relational Databases with Language Models and Graph Neural Networks
por: Wu, Jingcheng, et al.
Publicado: (2026)

OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML
por: Zhou, Xuanhe, et al.
Publicado: (2025)

AskDB: An LLM Agent for Natural Language Interaction with Relational Databases
por: Phan, Xuan-Quang, et al.
Publicado: (2025)

Optimizing Context-Enhanced Relational Joins
por: Sanca, Viktor, et al.
Publicado: (2023)

NeurDB: On the Design and Implementation of an AI-powered Autonomous Database
por: Zhao, Zhanhao, et al.
Publicado: (2024)

UQE: A Query Engine for Unstructured Databases
por: Dai, Hanjun, et al.
Publicado: (2024)

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

Thucy: An LLM-based Multi-Agent System for Claim Verification across Relational Databases
por: Theologitis, Michael, et al.
Publicado: (2025)

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

Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases
por: Tan, Zhao, et al.
Publicado: (2026)

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

AnDB: Breaking Boundaries with an AI-Native Database for Universal Semantic Analysis
por: Wang, Tianqing, et al.
Publicado: (2025)

In-Context Adaptation to Concept Drift for Learned Database Operations
por: Zhu, Jiaqi, et al.
Publicado: (2025)