GraphFAS: A Distributed System for Automated Graph Feature Generation and Selection in Industrial Transaction Networks

arXiv:2609.08970 · cs.LG, cs.AI, cs.DC · Submitted 2026-09-08 · Read on arXiv

cs.LG, cs.AI, cs.DC

Submitted: 2026-09-08

Updated: 2026-09-08

Comments: Accepted by CIKM 2026

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

Terminology

• Aggregation — 3× in this paper · explained in 1 episode
• Feature Selection — 2× in this paper · explained in 4 episodes
• GNNs — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes

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: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks