Imagen de Portada

Relatron: Automating Relational Machine Learning over Relational Databases

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Zhikai, Xie, Han, Zhang, Jian, Tang, Jiliang, Song, Xiang, Rangwala, Huzefa
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

AutoG: Towards automatic graph construction from tabular data
por: Chen, Zhikai, et al.
Publicado: (2025)

DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification
por: Han, Xiaoxue, et al.
Publicado: (2024)

DispaRisk: Auditing Fairness Through Usable Information
por: Vasquez, Jonathan, et al.
Publicado: (2024)

A Pre-training Framework for Relational Data with Information-theoretic Principles
por: Truong, Quang, et al.
Publicado: (2025)

MaxCode: A Max-Reward Reinforcement Learning Framework for Automated Code Optimization
por: Ou, Jiefu, et al.
Publicado: (2026)

HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
por: Lee, Meng-Chieh, et al.
Publicado: (2024)

Protein Structure Tokenization: Benchmarking and New Recipe
por: Yuan, Xinyu, et al.
Publicado: (2025)

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
por: Fang, Haoyang, et al.
Publicado: (2025)

The Kinetics of Reasoning: How Chain-of-Thought Shapes Learning in Transformers?
por: Pengmei, Zihan, et al.
Publicado: (2025)

Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer
por: Pengmei, Zihan, et al.
Publicado: (2024)

Offline Learning and Forgetting for Reasoning with Large Language Models
por: Ni, Tianwei, et al.
Publicado: (2025)

Unveiling Mode Connectivity in Graph Neural Networks
por: Li, Bingheng, et al.
Publicado: (2025)

BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
por: Wang, Zifeng, et al.
Publicado: (2023)

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

From Demonstrations to Rewards: Alignment Without Explicit Human Preferences
por: Zeng, Siliang, et al.
Publicado: (2025)

FeatNavigator: Automatic Feature Augmentation on Tabular Data
por: Liang, Jiaming, et al.
Publicado: (2024)

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

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks
por: Tschalzev, Andrej, et al.
Publicado: (2026)

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
por: Zhang, Hengrui, et al.
Publicado: (2023)

Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
por: Cen, Zhepeng, et al.
Publicado: (2024)

Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
por: Guo, Kai, et al.
Publicado: (2024)

OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
por: Kong, Kezhi, et al.
Publicado: (2024)

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

Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers
por: Wang, Yingheng, et al.
Publicado: (2024)

Towards Neural Scaling Laws on Graphs
por: Liu, Jingzhe, et al.
Publicado: (2024)

ReSyn: Autonomously Scaling Synthetic Environments for Reasoning Models
por: He, Andre, et al.
Publicado: (2026)

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

Train Less, Learn More: Adaptive Efficient Rollout Optimization for Group-Based Reinforcement Learning
por: Zhang, Zhi, et al.
Publicado: (2026)

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

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

Scalable Prompt Routing via Fine-Grained Latent Task Discovery
por: Zhang, Yunyi, et al.
Publicado: (2026)

Label-free Node Classification on Graphs with Large Language Models (LLMS)
por: Chen, Zhikai, et al.
Publicado: (2023)

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

A Locality Radius Framework for Understanding Relational Inductive Bias in Database Learning
por: Joshi, Aadi, et al.
Publicado: (2026)

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

Interpretable Imitation Learning with Dynamic Causal Relations
por: Zhao, Tianxiang, et al.
Publicado: (2023)

Position: Graph Foundation Models are Already Here
por: Mao, Haitao, et al.
Publicado: (2024)

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

ML2SC: Deploying Machine Learning Models as Smart Contracts on the Blockchain
por: Li, Zhikai, et al.
Publicado: (2024)

Multi-Faceted Studies on Data Poisoning can Advance LLM Development
por: He, Pengfei, et al.
Publicado: (2025)