Imagen de Portada

Turning Tabular Foundation Models into Graph Foundation Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Eremeev, Dmitry, Bazhenov, Gleb, Platonov, Oleg, Babenko, Artem, Prokhorenkova, Liudmila
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

GraphPFN: A Prior-Data Fitted Graph Foundation Model
por: Eremeev, Dmitry, et al.
Publicado: (2025)

GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data
por: Bazhenov, Gleb, et al.
Publicado: (2024)

Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
por: Platonov, Oleg, et al.
Publicado: (2022)

Metropolis-Scale Road Network Datasets for Fine-Grained Urban Traffic Modeling
por: Velikonivtsev, Fedor, et al.
Publicado: (2025)

Cluster Attention for Graph Machine Learning
por: Platonov, Oleg, et al.
Publicado: (2026)

A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
por: Platonov, Oleg, et al.
Publicado: (2023)

On Finetuning Tabular Foundation Models
por: Rubachev, Ivan, et al.
Publicado: (2025)

Discrete Neural Algorithmic Reasoning
por: Rodionov, Gleb, et al.
Publicado: (2024)

TabDDPM: Modelling Tabular Data with Diffusion Models
por: Kotelnikov, Akim, et al.
Publicado: (2022)

Revisiting Graph Homophily Measures
por: Mironov, Mikhail, et al.
Publicado: (2024)

Challenges of Generating Structurally Diverse Graphs
por: Velikonivtsev, Fedor, et al.
Publicado: (2024)

Measuring Diversity: Axioms and Challenges
por: Mironov, Mikhail, et al.
Publicado: (2024)

Unveiling the Role of Data Uncertainty in Tabular Deep Learning
por: Kartashev, Nikolay, et al.
Publicado: (2025)

TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
por: Gorishniy, Yury, et al.
Publicado: (2024)

Can Graphs Improve Tabular Foundation Models?
por: Le, Franck, et al.
Publicado: (2025)

Benchmarking Optimizers for MLPs in Tabular Deep Learning
por: Gorishniy, Yury, et al.
Publicado: (2026)

Tabular Foundation Models are Strong Graph Anomaly Detectors
por: Liu, Yunhui, et al.
Publicado: (2026)

Tabular Foundation Model for Generative Modelling
por: Jiang, Xiangjian, et al.
Publicado: (2026)

TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
por: Rubachev, Ivan, et al.
Publicado: (2024)

TabularFM: An Open Framework For Tabular Foundational Models
por: Tran, Quan M., et al.
Publicado: (2024)

Robust Tabular Foundation Models
por: Peroni, Matthew, et al.
Publicado: (2025)

Real-Time Explanations for Tabular Foundation Models
por: Sena, Luan Borges Teodoro Reis, et al.
Publicado: (2026)

A Mechanistic Study of Tabular Foundation Models
por: Biloš, Marin, et al.
Publicado: (2026)

Active In-Context Learning for Tabular Foundation Models
por: Treerath, Wilailuck, et al.
Publicado: (2026)

Exploring Fine-Tuning for Tabular Foundation Models
por: Tanna, Aditya, et al.
Publicado: (2026)

End-to-End Compression for Tabular Foundation Models
por: Zabërgja, Guri, et al.
Publicado: (2026)

On the Uncertainty Quantification Ability of Tabular Foundation Models
por: Johnson, Tyler R., et al.
Publicado: (2026)

TFMLinker: Universal Link Predictor by Graph In-Context Learning with Tabular Foundation Models
por: Liao, Tianyin, et al.
Publicado: (2026)

TabH2O: A Unified Foundation Model for Tabular Prediction
por: Pfeiffer, Pascal, et al.
Publicado: (2026)

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data
por: Yakushev, George, et al.
Publicado: (2025)

Towards Fair In-Context Learning with Tabular Foundation Models
por: Kenfack, Patrik, et al.
Publicado: (2025)

Towards Benchmarking Foundation Models for Tabular Data With Text
por: Mráz, Martin, et al.
Publicado: (2025)

Tabular Foundation Models Can Do Survival Analysis
por: Kim, Da In, et al.
Publicado: (2026)

VIP-COP: Context Optimization for Tabular Foundation Models
por: Chen, Yilong, et al.
Publicado: (2026)

Bringing Graphs to the Table: Zero-shot Node Classification via Tabular Foundation Models
por: Hayler, Adrian, et al.
Publicado: (2025)

Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models
por: Zhang, Xiyuan, et al.
Publicado: (2025)

Longitudinal Progression Prediction of Alzheimer's Disease with Tabular Foundation Model
por: Ding, Yilang, et al.
Publicado: (2025)

CTSyn: A Foundation Model for Cross Tabular Data Generation
por: Lin, Xiaofeng, et al.
Publicado: (2024)

Why Tabular Foundation Models Should Be a Research Priority
por: van Breugel, Boris, et al.
Publicado: (2024)

GAMformer: Bridging Tabular Foundation Models and Interpretable Machine Learning
por: Mueller, Andreas, et al.
Publicado: (2024)