Topology-aware Reinforcement Feature Space Reconstruction for Graph Data
Fuente:
arXiv
Saved in:
| Main Authors: | Ying, Wangyang, Bai, Haoyue, Liu, Kunpeng, Fu, Yanjie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories
by: Gong, Nanxu, et al.
Published: (2025)
by: Gong, Nanxu, et al.
Published: (2025)
Data-Efficient Symbolic Regression via Foundation Model Distillation
by: Ying, Wangyang, et al.
Published: (2025)
by: Ying, Wangyang, et al.
Published: (2025)
Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback
by: Ying, Wangyang, et al.
Published: (2025)
by: Ying, Wangyang, et al.
Published: (2025)
Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation
by: Wang, Xinyuan, et al.
Published: (2025)
by: Wang, Xinyuan, et al.
Published: (2025)
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
by: Wang, Dongjie, et al.
Published: (2025)
by: Wang, Dongjie, et al.
Published: (2025)
Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent
by: Wang, Xinyuan, et al.
Published: (2024)
by: Wang, Xinyuan, et al.
Published: (2024)
A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective
by: Ying, Wangyang, et al.
Published: (2025)
by: Ying, Wangyang, et al.
Published: (2025)
Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
by: Ying, Wangyang, et al.
Published: (2024)
by: Ying, Wangyang, et al.
Published: (2024)
Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)
Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration
by: Ying, Wangyang, et al.
Published: (2024)
by: Ying, Wangyang, et al.
Published: (2024)
Evolving Demonstration Optimization for Chain-of-Thought Feature Transformation
by: Wang, Xinyuan, et al.
Published: (2026)
by: Wang, Xinyuan, et al.
Published: (2026)
Causally-Guided Diffusion for Stable Feature Selection
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)
Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation
by: Gong, Nanxu, et al.
Published: (2025)
by: Gong, Nanxu, et al.
Published: (2025)
Reinforcement Feature Transformation for Polymer Property Performance Prediction
by: Hu, Xuanming, et al.
Published: (2024)
by: Hu, Xuanming, et al.
Published: (2024)
Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
by: Wang, Xinyuan, et al.
Published: (2025)
by: Wang, Xinyuan, et al.
Published: (2025)
StaRPO: Stability-Augmented Reinforcement Policy Optimization
by: Zhang, Jinghan, et al.
Published: (2026)
by: Zhang, Jinghan, et al.
Published: (2026)
Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches
by: Bai, Haoyue
Published: (2024)
by: Bai, Haoyue
Published: (2024)
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
by: Gong, Nanxu, et al.
Published: (2025)
by: Gong, Nanxu, et al.
Published: (2025)
Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation
by: Zhe, Tao, et al.
Published: (2025)
by: Zhe, Tao, et al.
Published: (2025)
A Comprehensive Survey on Data Augmentation
by: Wang, Zaitian, et al.
Published: (2024)
by: Wang, Zaitian, et al.
Published: (2024)
Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search
by: Liu, Rui, et al.
Published: (2025)
by: Liu, Rui, et al.
Published: (2025)
DRTA: Dynamic Reward Scaling for Reinforcement Learning in Time Series Anomaly Detection
by: Golchin, Bahareh, et al.
Published: (2025)
by: Golchin, Bahareh, et al.
Published: (2025)
FastFT: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies
by: He, Tianqi, et al.
Published: (2025)
by: He, Tianqi, et al.
Published: (2025)
Supply Chain Optimization via Generative Simulation and Iterative Decision Policies
by: Bai, Haoyue, et al.
Published: (2025)
by: Bai, Haoyue, et al.
Published: (2025)
Feature Selection as Deep Sequential Generative Learning
by: Ying, Wangyang, et al.
Published: (2024)
by: Ying, Wangyang, et al.
Published: (2024)
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
by: Zhou, Yicheng, et al.
Published: (2024)
by: Zhou, Yicheng, et al.
Published: (2024)
Sim2Act: Robust Simulation-to-Decision Learning via Adversarial Calibration and Group-Relative Perturbation
by: Cao, Hongyu, et al.
Published: (2026)
by: Cao, Hongyu, et al.
Published: (2026)
Explicit Feature Interaction-aware Graph Neural Networks
by: Kim, Minkyu, et al.
Published: (2022)
by: Kim, Minkyu, et al.
Published: (2022)
Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
by: Liu, Rui, et al.
Published: (2025)
by: Liu, Rui, et al.
Published: (2025)
Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs
by: Zou, Xingchen, et al.
Published: (2024)
by: Zou, Xingchen, et al.
Published: (2024)
Feature Space Topology Control via Hopkins Loss
by: Vaaras, Einari, et al.
Published: (2025)
by: Vaaras, Einari, et al.
Published: (2025)
Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation
by: Gong, Nanxu, et al.
Published: (2024)
by: Gong, Nanxu, et al.
Published: (2024)
CORE: Contrastive Masked Feature Reconstruction on Graphs
by: Bo, Jianyuan, et al.
Published: (2025)
by: Bo, Jianyuan, et al.
Published: (2025)
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning
by: Wang, Zitong, et al.
Published: (2024)
by: Wang, Zitong, et al.
Published: (2024)
Self-Reinforced Graph Contrastive Learning
by: Hsieh, Chou-Ying, et al.
Published: (2025)
by: Hsieh, Chou-Ying, et al.
Published: (2025)
Dynamic and Adaptive Feature Generation with LLM
by: Zhang, Xinhao, et al.
Published: (2024)
by: Zhang, Xinhao, et al.
Published: (2024)
Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning
by: Lin, Po-Shao, et al.
Published: (2024)
by: Lin, Po-Shao, et al.
Published: (2024)
GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
by: Fu, Xingbo, et al.
Published: (2025)
by: Fu, Xingbo, et al.
Published: (2025)
Similar Items
-
Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories
by: Gong, Nanxu, et al.
Published: (2025) -
Data-Efficient Symbolic Regression via Foundation Model Distillation
by: Ying, Wangyang, et al.
Published: (2025) -
Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback
by: Ying, Wangyang, et al.
Published: (2025) -
Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
by: Malarkkan, Arun Vignesh, et al.
Published: (2026) -
LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation
by: Wang, Xinyuan, et al.
Published: (2025)