A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks
Fuente:
arXiv
Guardado en:
| Autores principales: | Jin, Yaochu, Yan, Xueming, Liu, Shiqing, Wang, Xiangyu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization
por: Yan, Xueming, et al.
Publicado: (2024)
por: Yan, Xueming, et al.
Publicado: (2024)
LacaDM: A Latent Causal Diffusion Model for Multiobjective Reinforcement Learning
por: Yan, Xueming, et al.
Publicado: (2025)
por: Yan, Xueming, et al.
Publicado: (2025)
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems
por: Liu, Shiqing, et al.
Publicado: (2023)
por: Liu, Shiqing, et al.
Publicado: (2023)
HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization
por: Yan, Yuping, et al.
Publicado: (2026)
por: Yan, Yuping, et al.
Publicado: (2026)
Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization
por: Feng, Shaodi, et al.
Publicado: (2026)
por: Feng, Shaodi, et al.
Publicado: (2026)
Combinatorial Optimization with Automated Graph Neural Networks
por: Liu, Yang, et al.
Publicado: (2024)
por: Liu, Yang, et al.
Publicado: (2024)
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks
por: Yan, Xueming, et al.
Publicado: (2024)
por: Yan, Xueming, et al.
Publicado: (2024)
Decision-focused Graph Neural Networks for Combinatorial Optimization
por: Liu, Yang, et al.
Publicado: (2024)
por: Liu, Yang, et al.
Publicado: (2024)
Robustness of Probabilistic Models to Low-Quality Data: A Multi-Perspective Analysis
por: Peng, Liu, et al.
Publicado: (2025)
por: Peng, Liu, et al.
Publicado: (2025)
Bridging Large Language Models and Optimization: A Unified Framework for Text-attributed Combinatorial Optimization
por: Jiang, Xia, et al.
Publicado: (2024)
por: Jiang, Xia, et al.
Publicado: (2024)
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
por: Zheng, Zhi, et al.
Publicado: (2024)
por: Zheng, Zhi, et al.
Publicado: (2024)
TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data
por: Yan, Yuping, et al.
Publicado: (2025)
por: Yan, Yuping, et al.
Publicado: (2025)
Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization
por: Loyola, Pablo, et al.
Publicado: (2025)
por: Loyola, Pablo, et al.
Publicado: (2025)
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
por: Darvariu, Victor-Alexandru, et al.
Publicado: (2024)
por: Darvariu, Victor-Alexandru, et al.
Publicado: (2024)
Oversmoothing Alleviation in Graph Neural Networks: A Survey and Unified View
por: Jin, Yufei, et al.
Publicado: (2024)
por: Jin, Yufei, et al.
Publicado: (2024)
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
por: Dong, Xiangyu, et al.
Publicado: (2023)
por: Dong, Xiangyu, et al.
Publicado: (2023)
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks
por: Wang, Runzhong, et al.
Publicado: (2024)
por: Wang, Runzhong, et al.
Publicado: (2024)
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling
por: Fang, Wenxuan, et al.
Publicado: (2024)
por: Fang, Wenxuan, et al.
Publicado: (2024)
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
por: Sanokowski, Sebastian, et al.
Publicado: (2024)
por: Sanokowski, Sebastian, et al.
Publicado: (2024)
Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection
por: Ming, Fei, et al.
Publicado: (2024)
por: Ming, Fei, et al.
Publicado: (2024)
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
por: Papillon, Mathilde, et al.
Publicado: (2024)
por: Papillon, Mathilde, et al.
Publicado: (2024)
Neural QAOA$^{2}$: Differentiable Joint Graph Partitioning and Parameter Initialization for Quantum Combinatorial Optimization
por: Zheng, Zubin, et al.
Publicado: (2026)
por: Zheng, Zubin, et al.
Publicado: (2026)
Nearest-Better Network for Visualizing and Analyzing Combinatorial Optimization Problems: A Unified Tool
por: Diao, Yiya, et al.
Publicado: (2025)
por: Diao, Yiya, et al.
Publicado: (2025)
Graph Q-Learning for Combinatorial Optimization
por: Dax, Victoria M., et al.
Publicado: (2024)
por: Dax, Victoria M., et al.
Publicado: (2024)
Probing Neural Combinatorial Optimization Models
por: Zhang, Zhiqin, et al.
Publicado: (2025)
por: Zhang, Zhiqin, et al.
Publicado: (2025)
Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs
por: Bai, Sen, et al.
Publicado: (2025)
por: Bai, Sen, et al.
Publicado: (2025)
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction
por: Zhang, Juzheng, et al.
Publicado: (2024)
por: Zhang, Juzheng, et al.
Publicado: (2024)
OmniMER: Auxiliary-Enhanced LLM Adaptation for Indonesian Multimodal Emotion Recognition
por: Yan, Xueming, et al.
Publicado: (2025)
por: Yan, Xueming, et al.
Publicado: (2025)
Unifying Adversarial Perturbation for Graph Neural Networks
por: Yang, Jinluan, et al.
Publicado: (2025)
por: Yang, Jinluan, et al.
Publicado: (2025)
Self-Improved Learning for Scalable Neural Combinatorial Optimization
por: Luo, Fu, et al.
Publicado: (2024)
por: Luo, Fu, et al.
Publicado: (2024)
Reinforcement Learning for Scalable Train Timetable Rescheduling with Graph Representation
por: Yue, Peng, et al.
Publicado: (2024)
por: Yue, Peng, et al.
Publicado: (2024)
Permutation Picture of Graph Combinatorial Optimization Problems
por: Min, Yimeng
Publicado: (2024)
por: Min, Yimeng
Publicado: (2024)
Geometric Algorithms for Neural Combinatorial Optimization with Constraints
por: Karalias, Nikolaos, et al.
Publicado: (2025)
por: Karalias, Nikolaos, et al.
Publicado: (2025)
OpenDPDv2: A Unified Learning and Optimization Framework for Neural Network Digital Predistortion
por: Wu, Yizhuo, et al.
Publicado: (2025)
por: Wu, Yizhuo, et al.
Publicado: (2025)
Guiding Multi-agent Multi-task Reinforcement Learning by a Hierarchical Framework with Logical Reward Shaping
por: Liu, Chanjuan, et al.
Publicado: (2024)
por: Liu, Chanjuan, et al.
Publicado: (2024)
Neural Solver Selection for Combinatorial Optimization
por: Gao, Chengrui, et al.
Publicado: (2024)
por: Gao, Chengrui, et al.
Publicado: (2024)
A Unified Invariant Learning Framework for Graph Classification
por: Sui, Yongduo, et al.
Publicado: (2025)
por: Sui, Yongduo, et al.
Publicado: (2025)
AnalysisGNN: Unified Music Analysis with Graph Neural Networks
por: Karystinaios, Emmanouil, et al.
Publicado: (2025)
por: Karystinaios, Emmanouil, et al.
Publicado: (2025)
Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs
por: Li, Yuanshuai, et al.
Publicado: (2025)
por: Li, Yuanshuai, et al.
Publicado: (2025)
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
por: Zhang, Han, et al.
Publicado: (2025)
por: Zhang, Han, et al.
Publicado: (2025)
Ejemplares similares
-
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization
por: Yan, Xueming, et al.
Publicado: (2024) -
LacaDM: A Latent Causal Diffusion Model for Multiobjective Reinforcement Learning
por: Yan, Xueming, et al.
Publicado: (2025) -
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems
por: Liu, Shiqing, et al.
Publicado: (2023) -
HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization
por: Yan, Yuping, et al.
Publicado: (2026) -
Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization
por: Feng, Shaodi, et al.
Publicado: (2026)