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Combinatorial optimization and reasoning with graph neural networks
v1v2v3 (latest)

Combinatorial optimization and reasoning with graph neural networks

18 February 2021
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Combinatorial optimization and reasoning with graph neural networks"

50 / 150 papers shown
Title
Learning to Reason: Leveraging Neural Networks for Approximate DNF
  Counting
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting
Ralph Abboud
.Ismail .Ilkan Ceylan
Thomas Lukasiewicz
59
28
0
04 Apr 2019
Guiding High-Performance SAT Solvers with Unsat-Core Predictions
Guiding High-Performance SAT Solvers with Unsat-Core Predictions
Daniel Selsam
Nikolaj S. Bjørner
NAI
62
121
0
12 Mar 2019
Graph Colouring Meets Deep Learning: Effective Graph Neural Network
  Models for Combinatorial Problems
Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems
Henrique Lemos
Marcelo O. R. Prates
Pedro H. C. Avelar
Luís C. Lamb
GNN
51
85
0
11 Mar 2019
Relational Pooling for Graph Representations
Relational Pooling for Graph Representations
R. Murphy
Balasubramaniam Srinivasan
Vinayak A. Rao
Bruno Ribeiro
GNN
125
261
0
06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
226
4,341
0
06 Mar 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
778
8,533
0
03 Jan 2019
Invariant and Equivariant Graph Networks
Invariant and Equivariant Graph Networks
Haggai Maron
Heli Ben-Hamu
Nadav Shamir
Y. Lipman
130
504
0
24 Dec 2018
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.1K
5,517
0
20 Dec 2018
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
153
1,389
0
15 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for
  Variable-Size Inputs
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
R. Murphy
Balasubramaniam Srinivasan
Vinayak A. Rao
Yun Liang
111
190
0
05 Nov 2018
Combinatorial Optimization with Graph Convolutional Networks and Guided
  Tree Search
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
Zhuwen Li
Qifeng Chen
V. Koltun
GNN
94
475
0
25 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
192
1,636
0
04 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
243
7,653
0
01 Oct 2018
Learning-based Efficient Graph Similarity Computation via Multi-Scale
  Convolutional Set Matching
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
Yunsheng Bai
Haoyang Ding
Yizhou Sun
Wei Wang
GNN
68
103
0
10 Sep 2018
Improving Optimization Bounds using Machine Learning: Decision Diagrams
  meet Deep Reinforcement Learning
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning
Quentin Cappart
Emmanuel Goutierre
David Bergman
Louis-Martin Rousseau
AI4CE
59
56
0
10 Sep 2018
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
Marcelo O. R. Prates
Pedro H. C. Avelar
Henrique Lemos
Luís C. Lamb
Moshe Y. Vardi
GNN
58
177
0
08 Sep 2018
Neural Arithmetic Logic Units
Neural Arithmetic Logic Units
Andrew Trask
Felix Hill
Scott E. Reed
Jack W. Rae
Chris Dyer
Phil Blunsom
NAI
70
205
0
01 Aug 2018
Relational recurrent neural networks
Relational recurrent neural networks
Adam Santoro
Ryan Faulkner
David Raposo
Jack W. Rae
Mike Chrzanowski
T. Weber
Daan Wierstra
Oriol Vinyals
Razvan Pascanu
Timothy Lillicrap
GNN
119
211
0
05 Jun 2018
Embedding Logical Queries on Knowledge Graphs
Embedding Logical Queries on Knowledge Graphs
William L. Hamilton
Payal Bajaj
Marinka Zitnik
Dan Jurafsky
J. Leskovec
NAI
80
290
0
05 Jun 2018
Relational inductive bias for physical construction in humans and
  machines
Relational inductive bias for physical construction in humans and machines
Jessica B. Hamrick
Kelsey R. Allen
V. Bapst
Tina Zhu
Kevin R. McKee
J. Tenenbaum
Peter W. Battaglia
208
111
0
04 Jun 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
118
1,214
0
22 Mar 2018
Reinforcement Learning for Solving the Vehicle Routing Problem
Reinforcement Learning for Solving the Vehicle Routing Problem
M. Nazari
Afshin Oroojlooy
L. Snyder
Martin Takáč
85
904
0
12 Feb 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
424
0
11 Feb 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised
  Learning
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNNSSL
187
2,826
0
22 Jan 2018
Recurrent Relational Networks
Recurrent Relational Networks
Rasmus Berg Palm
Ulrich Paquet
Ole Winther
GNNReLMNAI
100
139
0
21 Nov 2017
Residual Gated Graph ConvNets
Residual Gated Graph ConvNets
Xavier Bresson
T. Laurent
GNN
121
482
0
20 Nov 2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep
  Reinforcement Learning
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
Gregory Farquhar
Tim Rocktaschel
Maximilian Igl
Shimon Whiteson
OffRL
70
71
0
31 Oct 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,164
0
30 Oct 2017
Generalized Value Iteration Networks: Life Beyond Lattices
Generalized Value Iteration Networks: Life Beyond Lattices
Sufeng Niu
Siheng Chen
Hanyu Guo
Colin Targonski
M. C. Smith
J. Kovacevic
GNN
54
54
0
08 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,247
0
07 Jun 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNNNAI
179
1,614
0
05 Jun 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit
In-Datacenter Performance Analysis of a Tensor Processing Unit
N. Jouppi
C. Young
Nishant Patil
David Patterson
Gaurav Agrawal
...
Vijay Vasudevan
Richard Walter
Walter Wang
Eric Wilcox
Doe Hyun Yoon
235
4,635
0
16 Apr 2017
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
108
1,469
0
05 Apr 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
593
7,455
0
04 Apr 2017
Neural Episodic Control
Neural Episodic Control
Alexander Pritzel
Benigno Uria
Sriram Srinivasan
A. Badia
Oriol Vinyals
Demis Hassabis
Daan Wierstra
Charles Blundell
OffRLBDL
101
346
0
06 Mar 2017
End-to-End Training of Hybrid CNN-CRF Models for Stereo
End-to-End Training of Hybrid CNN-CRF Models for Stereo
Patrick Knöbelreiter
Christian Reinbacher
Alexander Shekhovtsov
Thomas Pock
3DV
75
132
0
30 Nov 2016
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
158
1,490
0
29 Nov 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
412
1,823
0
25 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
641
29,076
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
350
7,655
0
30 Jun 2016
Discriminative Embeddings of Latent Variable Models for Structured Data
Discriminative Embeddings of Latent Variable Models for Structured Data
H. Dai
Bo Dai
Le Song
BDL
122
695
0
17 Mar 2016
Value Iteration Networks
Value Iteration Networks
Aviv Tamar
Yi Wu
G. Thomas
Sergey Levine
Pieter Abbeel
79
653
0
09 Feb 2016
Neural GPUs Learn Algorithms
Neural GPUs Learn Algorithms
Lukasz Kaiser
Ilya Sutskever
82
369
0
25 Nov 2015
Neural Random-Access Machines
Neural Random-Access Machines
Karol Kurach
Marcin Andrychowicz
Ilya Sutskever
OODBDL
76
156
0
19 Nov 2015
Neural Programmer-Interpreters
Neural Programmer-Interpreters
Scott E. Reed
Nando de Freitas
98
408
0
19 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
223
3,352
0
30 Sep 2015
Pointer Networks
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
121
3,055
0
09 Jun 2015
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
97
2,328
0
20 Oct 2014
Learning to Execute
Learning to Execute
Wojciech Zaremba
Ilya Sutskever
ODL
87
560
0
17 Oct 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
220
4,876
0
21 Dec 2013
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