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An Efficient Graph Convolutional Network Technique for the Travelling
  Salesman Problem

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"

18 / 68 papers shown
Title
Efficient Active Search for Combinatorial Optimization Problems
Efficient Active Search for Combinatorial Optimization Problems
André Hottung
Yeong-Dae Kwon
Kevin Tierney
22
83
0
09 Jun 2021
Solve routing problems with a residual edge-graph attention neural
  network
Solve routing problems with a residual edge-graph attention neural network
Kun Lei
Peng Guo
Yi Wang
Xiao Wu
Wenchao Zhao
32
54
0
06 May 2021
QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver
  Surrogates
QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates
Tian Huang
Siong Thye Goh
Sabrish Gopalakrishnan
Tao Luo
Qianxiao Li
H. Lau
20
5
0
19 Mar 2021
Learning Connectivity for Data Distribution in Robot Teams
Learning Connectivity for Data Distribution in Robot Teams
Ekaterina V. Tolstaya
Landon Butler
Daniel Mox
James Paulos
Vijay R. Kumar
Alejandro Ribeiro
16
10
0
08 Mar 2021
The Transformer Network for the Traveling Salesman Problem
The Transformer Network for the Traveling Salesman Problem
Xavier Bresson
T. Laurent
19
85
0
04 Mar 2021
Fast Approximate Solutions using Reinforcement Learning for Dynamic
  Capacitated Vehicle Routing with Time Windows
Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows
Nazneen N. Sultana
Vinita Baniwal
Ansuma Basumatary
P. Mittal
Supratim Ghosh
H. Khadilkar
15
10
0
24 Feb 2021
Deep Policy Dynamic Programming for Vehicle Routing Problems
Deep Policy Dynamic Programming for Vehicle Routing Problems
W. Kool
H. V. Hoof
J. Gromicho
Max Welling
42
115
0
23 Feb 2021
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
32
347
0
18 Feb 2021
Reversible Action Design for Combinatorial Optimization with
  Reinforcement Learning
Reversible Action Design for Combinatorial Optimization with Reinforcement Learning
Fan Yao
Renqin Cai
Hongning Wang
27
11
0
14 Feb 2021
Reinforcement Learning with Combinatorial Actions: An Application to
  Vehicle Routing
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing
A. Delarue
Ross Anderson
Christian Tjandraatmadja
29
93
0
22 Oct 2020
From Local Structures to Size Generalization in Graph Neural Networks
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai
Ethan Fetaya
E. Meirom
Gal Chechik
Haggai Maron
GNN
AI4CE
169
123
0
17 Oct 2020
Learning to plan with uncertain topological maps
Learning to plan with uncertain topological maps
E. Beeching
J. Dibangoye
Olivier Simonin
Christian Wolf
19
40
0
10 Jul 2020
Global Attention Improves Graph Networks Generalization
Global Attention Improves Graph Networks Generalization
Omri Puny
Heli Ben-Hamu
Y. Lipman
27
22
0
14 Jun 2020
Principal Neighbourhood Aggregation for Graph Nets
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso
Luca Cavalleri
Dominique Beaini
Pietro Lió
Petar Velickovic
GNN
27
651
0
12 Apr 2020
Combinatorial Optimization by Graph Pointer Networks and Hierarchical
  Reinforcement Learning
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning
Qiang Ma
Suwen Ge
Danyang He
D. Thaker
Iddo Drori
9
186
0
12 Nov 2019
How to Evaluate Machine Learning Approaches for Combinatorial
  Optimization: Application to the Travelling Salesman Problem
How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem
Antoine François
Quentin Cappart
Louis-Martin Rousseau
14
13
0
28 Sep 2019
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,239
0
24 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
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