Towards One-for-All Foundation Model for Attributed Graph Clustering

arXiv:2610.07778 · cs.LG, cs.AI · Submitted 2026-10-06 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-10-06

Updated: 2026-10-06

Code: https://github.com/Cloudy1225/OFAG

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Clustering — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes

Sources

• Turning Tabular Foundation Models into Graph Foundation Models
• Variational Graph Auto-Encoders
• Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering
• Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering
• Pitfalls of Graph Neural Network Evaluation

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks