Cover Image

Decision-focused Graph Neural Networks for Combinatorial Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yang, Zhou, Chuan, Zhang, Peng, Pan, Shirui, Li, Zhao, Chen, Hongyang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Combinatorial Optimization with Automated Graph Neural Networks
by: Liu, Yang, et al.
Published: (2024)

Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services
by: Li, Zhao, et al.
Published: (2024)

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
by: Liu, Yang, et al.
Published: (2024)

Trustworthy Graph Neural Networks: Aspects, Methods and Trends
by: Zhang, He, et al.
Published: (2022)

Context-aware Diversity Enhancement for Neural Multi-Objective Combinatorial Optimization
by: Lu, Yongfan, et al.
Published: (2024)

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization
by: Loyola, Pablo, et al.
Published: (2025)

Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
by: Jin, Ming, et al.
Published: (2023)

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization
by: Li, Xijun, et al.
Published: (2025)

Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
by: Fan, Shaohua, et al.
Published: (2021)

FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
by: Zhao, Yunfeng, et al.
Published: (2025)

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks
by: Gupta, Mohit, et al.
Published: (2025)

Graph Q-Learning for Combinatorial Optimization
by: Dax, Victoria M., et al.
Published: (2024)

Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks
by: Wang, Runzhong, et al.
Published: (2024)

Probing Neural Combinatorial Optimization Models
by: Zhang, Zhiqin, et al.
Published: (2025)

Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
by: Li, Shiyuan, et al.
Published: (2024)

MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
by: Yu, Zhaoning, et al.
Published: (2024)

Graph Sparsification via Mixture of Graphs
by: Zhang, Guibin, et al.
Published: (2024)

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
by: Jin, Ming, et al.
Published: (2023)

Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization
by: Zhao, Jie, et al.
Published: (2025)

Non-Euclidean Spatial Graph Neural Network
by: Zhang, Zheng, et al.
Published: (2023)

Self-Improved Learning for Scalable Neural Combinatorial Optimization
by: Luo, Fu, et al.
Published: (2024)

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs
by: Bai, Sen, et al.
Published: (2025)

AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization
by: Chen, Yang, et al.
Published: (2024)

RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization
by: Son, Jiwoo, et al.
Published: (2025)

Permutation Picture of Graph Combinatorial Optimization Problems
by: Min, Yimeng
Published: (2024)

Geometric Algorithms for Neural Combinatorial Optimization with Constraints
by: Karalias, Nikolaos, et al.
Published: (2025)

Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
by: Liu, Wei, et al.
Published: (2026)

GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
by: Zhao, Songwei, et al.
Published: (2025)

Brain-inspired Chaotic Graph Backpropagation for Large-scale Combinatorial Optimization
by: Tao, Peng, et al.
Published: (2024)

CCMamba: Topologically-Informed Selective State-Space Networks on Combinatorial Complexes for Higher-Order Graph Learning
by: Chen, Jiawen, et al.
Published: (2026)

Heterophilic Graph Neural Networks Optimization with Causal Message-passing
by: Wang, Botao, et al.
Published: (2024)

Universal Prompt Tuning for Graph Neural Networks
by: Fang, Taoran, et al.
Published: (2022)

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
by: Rao, Xuan, et al.
Published: (2022)

TREE-G: Decision Trees Contesting Graph Neural Networks
by: Bechler-Speicher, Maya, et al.
Published: (2022)

GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
by: Fu, Xingbo, et al.
Published: (2025)

Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem
by: Wu, Xuan, et al.
Published: (2025)

Towards Few-shot Self-explaining Graph Neural Networks
by: Peng, Jingyu, et al.
Published: (2024)

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks
by: Li, Haoyang, et al.
Published: (2025)

Factor Graph-based Interpretable Neural Networks
by: Li, Yicong, et al.
Published: (2025)

SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
by: Liu, Yang, et al.
Published: (2023)