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An Efficient Graph Convolutional Network Technique for the Travelling
  Salesman Problem
v1v2 (latest)

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

4 June 2019
Chaitanya K. Joshi
T. Laurent
Xavier Bresson
    GNN
ArXiv (abs)PDFHTML

Papers citing "An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem"

50 / 221 papers shown
Title
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
262
7
0
01 Jun 2024
Compact Optimality Verification for Optimization Proxies
Compact Optimality Verification for Optimization Proxies
Wenbo Chen
Haoruo Zhao
Mathieu Tanneau
Pascal Van Hentenryck
94
0
0
31 May 2024
CycleFormer : TSP Solver Based on Language Modeling
CycleFormer : TSP Solver Based on Language Modeling
Jieun Yook
Junpyo Seo
Joon Huh
Han Joon Byun
Byung Ro Moon
57
0
0
30 May 2024
Network Interdiction Goes Neural
Network Interdiction Goes Neural
Lei Zhang
Zhiqian Chen
Chang-Tien Lu
Liang Zhao
AAML
94
0
0
26 May 2024
Test-Time Augmentation for Traveling Salesperson Problem
Test-Time Augmentation for Traveling Salesperson Problem
Ryo Ishiyama
Takahiro Shirakawa
Seiichi Uchida
Shinnosuke Matsuo
84
0
0
08 May 2024
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
Changliang Zhou
Xi Lin
Zhenkun Wang
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
115
6
0
03 May 2024
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
Jianan Zhou
Zhiguang Cao
Yaoxin Wu
Wen Song
Yining Ma
Jie Zhang
Chi Xu
154
27
0
02 May 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for
  Mobile Edge Computing, its Applications, and Future Research Trajectories
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Ning Yang
Shuo Chen
Haijun Zhang
Randall Berry
OffRL
104
9
0
22 Apr 2024
Graph Coloring Using Heat Diffusion
Graph Coloring Using Heat Diffusion
Vivek Chaudhary
48
0
0
21 Apr 2024
Learn to Tour: Operator Design For Solution Feasibility Mapping in
  Pickup-and-delivery Traveling Salesman Problem
Learn to Tour: Operator Design For Solution Feasibility Mapping in Pickup-and-delivery Traveling Salesman Problem
Bowen Fang
Xu Chen
Xuan Di
45
0
0
17 Apr 2024
Message Passing Variational Autoregressive Network for Solving
  Intractable Ising Models
Message Passing Variational Autoregressive Network for Solving Intractable Ising Models
Qunlong Ma
Zhi Ma
Jinlong Xu
Hairui Zhang
Ming Gao
60
6
0
09 Apr 2024
Electric Vehicle Routing Problem for Emergency Power Supply: Towards
  Telecom Base Station Relief
Electric Vehicle Routing Problem for Emergency Power Supply: Towards Telecom Base Station Relief
Daisuke Kikuta
Hiroki Ikeuchi
Kengo Tajiri
Yuta Toyama
Masaki Nakamura
Yuusuke Nakano
21
0
0
03 Apr 2024
On Size and Hardness Generalization in Unsupervised Learning for the
  Travelling Salesman Problem
On Size and Hardness Generalization in Unsupervised Learning for the Travelling Salesman Problem
Yimeng Min
Carla P. Gomes
79
2
0
29 Mar 2024
Self-Improved Learning for Scalable Neural Combinatorial Optimization
Self-Improved Learning for Scalable Neural Combinatorial Optimization
Fu Luo
Xi Lin
Zhenkun Wang
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
122
20
0
28 Mar 2024
Less Is More -- On the Importance of Sparsification for Transformers and
  Graph Neural Networks for TSP
Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP
Attila Lischka
Jiaming Wu
Rafael Basso
M. Chehreghani
Balázs Kulcsár
81
3
0
25 Mar 2024
Self-Improvement for Neural Combinatorial Optimization: Sample without
  Replacement, but Improvement
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement
Jonathan Pirnay
D. G. Grimm
98
12
0
22 Mar 2024
RouteExplainer: An Explanation Framework for Vehicle Routing Problem
RouteExplainer: An Explanation Framework for Vehicle Routing Problem
Daisuke Kikuta
Hiroki Ikeuchi
Kengo Tajiri
Yuusuke Nakano
92
1
0
06 Mar 2024
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial
  Optimization
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization
André Hottung
Mridul Mahajan
Kevin Tierney
85
14
0
21 Feb 2024
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem
  with Time Windows
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows
Zangir Iklassov
I. Sobirov
Rubén Solozabal
Martin Takáč
16
0
0
15 Feb 2024
Moco: A Learnable Meta Optimizer for Combinatorial Optimization
Moco: A Learnable Meta Optimizer for Combinatorial Optimization
Tim Dernedde
Daniela Thyssens
Soren Dittrich
Maximilan Stubbemann
Lars Schmidt-Thieme
89
6
0
07 Feb 2024
INViT: A Generalizable Routing Problem Solver with Invariant Nested View
  Transformer
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
Han Fang
Zhihao Song
Paul Weng
Yutong Ban
98
14
0
04 Feb 2024
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
Jiawei Lu
Tinghan Ye
Wenbo Chen
Pascal Van Hentenryck
AI4TS
99
0
0
08 Jan 2024
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design
  Using Large Language Model
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
Fei Liu
Xialiang Tong
Mingxuan Yuan
Xi Lin
Fu Luo
Zhenkun Wang
Zhichao Lu
Qingfu Zhang
VLM
127
84
0
04 Jan 2024
Distilling Autoregressive Models to Obtain High-Performance
  Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference
  Speed
Distilling Autoregressive Models to Obtain High-Performance Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed
Yubin Xiao
Di Wang
Boyang Albert Li
Mingzhao Wang
Xuan Wu
Changliang Zhou
You Zhou
114
18
0
19 Dec 2023
GLOP: Learning Global Partition and Local Construction for Solving
  Large-scale Routing Problems in Real-time
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Haoran Ye
Jiarui Wang
Helan Liang
Zhiguang Cao
Yong Li
Fanzhang Li
91
42
0
13 Dec 2023
A Novel Differentiable Loss Function for Unsupervised Graph Neural
  Networks in Graph Partitioning
A Novel Differentiable Loss Function for Unsupervised Graph Neural Networks in Graph Partitioning
Vivek Chaudhary
39
0
0
11 Dec 2023
An Expandable Machine Learning-Optimization Framework to Sequential
  Decision-Making
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making
Dogacan Yilmaz
˙I. Esra B¨uy¨uktahtakın
93
13
0
12 Nov 2023
Learning to Search Feasible and Infeasible Regions of Routing Problems
  with Flexible Neural k-Opt
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt
Yining Ma
Zhiguang Cao
Yeow Meng Chee
87
45
0
27 Oct 2023
Coalitional Bargaining via Reinforcement Learning: An Application to
  Collaborative Vehicle Routing
Coalitional Bargaining via Reinforcement Learning: An Application to Collaborative Vehicle Routing
Stephen Mak
Liming Xu
Tim Pearce
Michael Ostroumov
Alexandra Brintrup
43
4
0
26 Oct 2023
Symmetry-preserving graph attention network to solve routing problems at
  multiple resolutions
Symmetry-preserving graph attention network to solve routing problems at multiple resolutions
Cong Dao Tran
Thong Bach
Truong-Son Hy
111
0
0
24 Oct 2023
Graph Attention-based Deep Reinforcement Learning for solving the
  Chinese Postman Problem with Load-dependent costs
Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs
Cong Dao Tran
Truong-Son Hy
55
0
0
24 Oct 2023
NeuroCUT: A Neural Approach for Robust Graph Partitioning
NeuroCUT: A Neural Approach for Robust Graph Partitioning
Rishi Shah
Krishnanshu Jain
S. Manchanda
Sourav Medya
Sayan Ranu
52
3
0
18 Oct 2023
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale
  Generalization
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
Fu Luo
Xi Lin
Fei Liu
Qingfu Zhang
Zhenkun Wang
108
79
0
12 Oct 2023
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for
  Traveling Salesman Problems
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems
Shiqing Liu
Xueming Yan
Yaochu Jin
106
8
0
10 Oct 2023
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape
  of Policy-Gradient Methods
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods
Constantine Caramanis
Dimitris Fotakis
Alkis Kalavasis
Vasilis Kontonis
Christos Tzamos
94
5
0
08 Oct 2023
Physics-Informed Graph Neural Network for Dynamic Reconfiguration of
  Power Systems
Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
Jules Authier
R. Haider
Anuradha M. Annaswamy
Florian Dorfler
AI4CEPINN
75
5
0
01 Oct 2023
Are Graph Neural Networks Optimal Approximation Algorithms?
Are Graph Neural Networks Optimal Approximation Algorithms?
Morris Yau
Eric Lu
Nikolaos Karalias
Jessica Xu
Stefanie Jegelka
128
4
0
01 Oct 2023
Too Big, so Fail? -- Enabling Neural Construction Methods to Solve
  Large-Scale Routing Problems
Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems
Hao Li
Lars Schmidt-Thieme
81
3
0
29 Sep 2023
Controlling Continuous Relaxation for Combinatorial Optimization
Controlling Continuous Relaxation for Combinatorial Optimization
Yuma Ichikawa
83
6
0
29 Sep 2023
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Haoran Ye
Jiarui Wang
Zhiguang Cao
Helan Liang
Yong Li
102
55
0
25 Sep 2023
Towards Generalizable Neural Solvers for Vehicle Routing Problems via
  Ensemble with Transferrable Local Policy
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy
Chengrui Gao
Haopu Shang
Ke Xue
Dong Li
Chao Qian
125
30
0
27 Aug 2023
Accelerating Diffusion-based Combinatorial Optimization Solvers by
  Progressive Distillation
Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation
Junwei Huang
Zhiqing Sun
Yiming Yang
DiffM
46
4
0
12 Aug 2023
A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale
  Travelling Salesman Problem
A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem
Zhang-Hua Fu
S. Sun
Jintong Ren
Tianshu Yu
Haoyu Zhang
Yuanyuan Liu
Lingxiao Huang
X. Yan
Pinyan Lu
54
5
0
09 Aug 2023
Reinforcement Learning-based Non-Autoregressive Solver for Traveling
  Salesman Problems
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems
Yubin Xiao
Di Wang
Boyang Albert Li
Huan Chen
Wei Pang
Xuan Wu
Haoqiang Li
Dong Xu
Yanchun Liang
You Zhou
84
4
0
01 Aug 2023
Continuation Path Learning for Homotopy Optimization
Continuation Path Learning for Homotopy Optimization
Xi Lin
Zhiyuan Yang
Xiao-Yan Zhang
Qingfu Zhang
100
9
0
24 Jul 2023
Learning to Branch in Combinatorial Optimization with Graph Pointer
  Networks
Learning to Branch in Combinatorial Optimization with Graph Pointer Networks
Rui Wang
Zhiming Zhou
Tao Zhang
Ling Wang
Xin Xu
Xiangke Liao
Kaiwen Li
93
2
0
04 Jul 2023
Finding Hamiltonian cycles with graph neural networks
Finding Hamiltonian cycles with graph neural networks
Filip Bosnić
M. Šikić
64
1
0
10 Jun 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
Jianan Zhou
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
122
52
0
31 May 2023
A Lightweight CNN-Transformer Model for Learning Traveling Salesman
  Problems
A Lightweight CNN-Transformer Model for Learning Traveling Salesman Problems
Minseop Jung
Jaeseung Lee
Jibum Kim
ViT
54
12
0
03 May 2023
Solving the Kidney-Exchange Problem via Graph Neural Networks with No
  Supervision
Solving the Kidney-Exchange Problem via Graph Neural Networks with No Supervision
P. F. Pimenta
Pedro H. C. Avelar
Luís C. Lamb
52
1
0
19 Apr 2023
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