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1906.01227
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An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem
4 June 2019
Chaitanya K. Joshi
T. Laurent
Xavier Bresson
GNN
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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
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Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
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Compact Optimality Verification for Optimization Proxies
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Mathieu Tanneau
Pascal Van Hentenryck
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31 May 2024
CycleFormer : TSP Solver Based on Language Modeling
Jieun Yook
Junpyo Seo
Joon Huh
Han Joon Byun
Byung Ro Moon
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30 May 2024
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
Ryo Ishiyama
Takahiro Shirakawa
Seiichi Uchida
Shinnosuke Matsuo
84
0
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08 May 2024
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
Changliang Zhou
Xi Lin
Zhenkun Wang
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
115
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0
03 May 2024
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
Ning Yang
Shuo Chen
Haijun Zhang
Randall Berry
OffRL
104
9
0
22 Apr 2024
Graph Coloring Using Heat Diffusion
Vivek Chaudhary
48
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0
21 Apr 2024
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
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
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
Yimeng Min
Carla P. Gomes
79
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0
29 Mar 2024
Self-Improved Learning for Scalable Neural Combinatorial Optimization
Fu Luo
Xi Lin
Zhenkun Wang
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
122
20
0
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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
Jonathan Pirnay
D. G. Grimm
98
12
0
22 Mar 2024
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
André Hottung
Mridul Mahajan
Kevin Tierney
85
14
0
21 Feb 2024
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
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
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
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
Fei Liu
Xialiang Tong
Mingxuan Yuan
Xi Lin
Fu Luo
Zhenkun Wang
Zhichao Lu
Qingfu Zhang
VLM
127
84
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04 Jan 2024
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
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
Vivek Chaudhary
39
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11 Dec 2023
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
Yining Ma
Zhiguang Cao
Yeow Meng Chee
87
45
0
27 Oct 2023
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
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
Cong Dao Tran
Truong-Son Hy
55
0
0
24 Oct 2023
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
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
Shiqing Liu
Xueming Yan
Yaochu Jin
106
8
0
10 Oct 2023
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods
Constantine Caramanis
Dimitris Fotakis
Alkis Kalavasis
Vasilis Kontonis
Christos Tzamos
94
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Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
Jules Authier
R. Haider
Anuradha M. Annaswamy
Florian Dorfler
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PINN
75
5
0
01 Oct 2023
Are Graph Neural Networks Optimal Approximation Algorithms?
Morris Yau
Eric Lu
Nikolaos Karalias
Jessica Xu
Stefanie Jegelka
128
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Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems
Hao Li
Lars Schmidt-Thieme
81
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Controlling Continuous Relaxation for Combinatorial Optimization
Yuma Ichikawa
83
6
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29 Sep 2023
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
Chengrui Gao
Haopu Shang
Ke Xue
Dong Li
Chao Qian
125
30
0
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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
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
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
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
Rui Wang
Zhiming Zhou
Tao Zhang
Ling Wang
Xin Xu
Xiangke Liao
Kaiwen Li
93
2
0
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Finding Hamiltonian cycles with graph neural networks
Filip Bosnić
M. Šikić
64
1
0
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Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
Jianan Zhou
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
122
52
0
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A Lightweight CNN-Transformer Model for Learning Traveling Salesman Problems
Minseop Jung
Jaeseung Lee
Jibum Kim
ViT
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0
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Solving the Kidney-Exchange Problem via Graph Neural Networks with No Supervision
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Luís C. Lamb
52
1
0
19 Apr 2023
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