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Learning to Solve NP-Complete Problems - A Graph Neural Network for
  Decision TSP

Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP

8 September 2018
Marcelo O. R. Prates
Pedro H. C. Avelar
Henrique Lemos
Luís C. Lamb
Moshe Y. Vardi
    GNN
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Papers citing "Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP"

15 / 15 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
214
7
0
01 Jun 2024
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
Giovanni Luca Marchetti
Gabriele Cesa
Kumar Pratik
Arash Behboodi
107
2
0
14 Nov 2023
On the Robustness of Deep Learning-predicted Contention Models for
  Network Calculus
On the Robustness of Deep Learning-predicted Contention Models for Network Calculus
Fabien Geyer
Steffen Bondorf
OOD
150
8
0
24 Nov 2019
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
741
3,119
0
04 Jun 2018
Learning a SAT Solver from Single-Bit Supervision
Learning a SAT Solver from Single-Bit Supervision
Daniel Selsam
Matthew Lamm
Benedikt Bünz
Percy Liang
L. D. Moura
D. Dill
NAI
90
423
0
11 Feb 2018
Learning Explanatory Rules from Noisy Data
Learning Explanatory Rules from Noisy Data
Richard Evans
Edward Grefenstette
111
483
0
13 Nov 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
582
7,441
0
04 Apr 2017
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
386
10,481
0
21 Jul 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,330
0
04 Sep 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
237
6,775
0
03 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
533
27,295
0
01 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,338
0
03 Jun 2014
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
119
12,223
0
19 Dec 2013
Phase Transitions and Backbones of the Asymmetric Traveling Salesman
  Problem
Phase Transitions and Backbones of the Asymmetric Traveling Salesman Problem
Weixiong Zhang
46
61
0
30 Jun 2011
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