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Exact Combinatorial Optimization with Graph Convolutional Neural
  Networks

Exact Combinatorial Optimization with Graph Convolutional Neural Networks

4 June 2019
Maxime Gasse
Didier Chételat
Nicola Ferroni
Laurent Charlin
Andrea Lodi
    GNN
    CML
ArXivPDFHTML

Papers citing "Exact Combinatorial Optimization with Graph Convolutional Neural Networks"

50 / 228 papers shown
Title
Applications of blockchain and artificial intelligence technologies for
  enabling prosumers in smart grids: A review
Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review
Weiqi Hua
Ying Chen
Meysam Qadrdan
Jing Jiang
Hongjian Sun
Jianzhong Wu
18
86
0
21 Feb 2022
Augment with Care: Contrastive Learning for Combinatorial Problems
Augment with Care: Contrastive Learning for Combinatorial Problems
Haonan Duan
Pashootan Vaezipoor
Max B. Paulus
Yangjun Ruan
Chris J. Maddison
SSL
11
19
0
17 Feb 2022
Confidence Threshold Neural Diving
Confidence Threshold Neural Diving
Taehyun Yoon
15
5
0
15 Feb 2022
Instance-wise algorithm configuration with graph neural networks
Instance-wise algorithm configuration with graph neural networks
Romeo Valentin
Claudio Ferrari
Jérémy Scheurer
Andisheh Amrollahi
Chris Wendler
Max B. Paulus
14
3
0
10 Feb 2022
Minimizing Entropy to Discover Good Solutions to Recurrent Mixed Integer
  Programs
Minimizing Entropy to Discover Good Solutions to Recurrent Mixed Integer Programs
Charly Robinson La Rocca
Emma Frejinger
J. Cordeau
19
0
0
07 Feb 2022
Yordle: An Efficient Imitation Learning for Branch and Bound
Yordle: An Efficient Imitation Learning for Branch and Bound
Qingyu Qu
Xijun Li
Yunfan Zhou
19
3
0
02 Feb 2022
Graph-based Neural Acceleration for Nonnegative Matrix Factorization
Graph-based Neural Acceleration for Nonnegative Matrix Factorization
Jens Sjölund
Maria Bånkestad
GNN
40
9
0
01 Feb 2022
ML4CO-KIDA: Knowledge Inheritance in Dataset Aggregation
ML4CO-KIDA: Knowledge Inheritance in Dataset Aggregation
Zixuan Cao
Yang Xu
Zhewei Huang
Shuchang Zhou
95
7
0
25 Jan 2022
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph
  Matching
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching
Hanchen Wang
Ying Zhang
Lu Qin
Wei Wang
Wenbo Zhang
Xuemin Lin
27
18
0
25 Jan 2022
Learning to Reformulate for Linear Programming
Learning to Reformulate for Linear Programming
Xijun Li
Qingyu Qu
Fangzhou Zhu
Jia Zeng
Mingxuan Yuan
K. Mao
Jie Wang
14
12
0
17 Jan 2022
An Improved Reinforcement Learning Algorithm for Learning to Branch
An Improved Reinforcement Learning Algorithm for Learning to Branch
Qingyu Qu
Xijun Li
Yunfan Zhou
Jianguo Zeng
Mingxuan Yuan
Jie Wang
Jinhu Lv
Kexin Liu
K. Mao
OffRL
22
21
0
17 Jan 2022
Machine-learning-based arc selection for constrained shortest path
  problems in column generation
Machine-learning-based arc selection for constrained shortest path problems in column generation
Mouad Morabit
G. Desaulniers
Andrea Lodi
16
27
0
07 Jan 2022
ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce
  Strong Baselines For Combinatorial Optimization Problems, If Tuned and
  Trained Properly, on Appropriate Data
ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate Data
Amin Banitalebi-Dehkordi
Yong Zhang
30
6
0
22 Dec 2021
Pretrained Cost Model for Distributed Constraint Optimization Problems
Pretrained Cost Model for Distributed Constraint Optimization Problems
Yanchen Deng
Shufeng Kong
Bo An
AI4CE
17
7
0
08 Dec 2021
Enhancing Column Generation by a Machine-Learning-Based Pricing
  Heuristic for Graph Coloring
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring
Yunzhuang Shen
Yuan Sun
Xiaodong Li
Andrew Craig Eberhard
Andreas T. Ernst
6
26
0
08 Dec 2021
Revisiting local branching with a machine learning lens
Revisiting local branching with a machine learning lens
De-You Liu
M. Fischetti
Andrea Lodi
19
1
0
03 Dec 2021
Multi-fidelity Stability for Graph Representation Learning
Multi-fidelity Stability for Graph Representation Learning
Yihan He
Joan Bruna
17
0
0
25 Nov 2021
FastDOG: Fast Discrete Optimization on GPU
FastDOG: Fast Discrete Optimization on GPU
Ahmed Abbas
Paul Swoboda
30
8
0
19 Nov 2021
Improved Sample Complexity Bounds for Branch-and-Cut
Improved Sample Complexity Bounds for Branch-and-Cut
Maria-Florina Balcan
Siddharth Prasad
T. Sandholm
Ellen Vitercik
11
13
0
18 Nov 2021
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning
  and Clustering
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering
Yaoming Cai
Zijia Zhang
Z. Cai
Xiaobo Liu
Yao Ding
Pedram Ghamisi
FedML
24
1
0
15 Nov 2021
Unsupervised Learning for Identifying High Eigenvector Centrality Nodes:
  A Graph Neural Network Approach
Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach
Appan Rakaraddi
Mahardhika Pratama
GNN
17
4
0
08 Nov 2021
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey
  of Techniques and Trends
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends
Lingying Huang
Xiaomeng Chen
Wei Huo
Jiazheng Wang
Fan Zhang
Bo Bai
Ling Shi
19
23
0
05 Nov 2021
Learning Large Neighborhood Search Policy for Integer Programming
Learning Large Neighborhood Search Policy for Integer Programming
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
19
40
0
01 Nov 2021
An actor-critic algorithm with policy gradients to solve the job shop
  scheduling problem using deep double recurrent agents
An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents
Marta Monaci
Valerio Agasucci
G. Grani
17
21
0
18 Oct 2021
Time-based Dynamic Controllability of Disjunctive Temporal Networks with
  Uncertainty: A Tree Search Approach with Graph Neural Network Guidance
Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance
Kevin Osanlou
J. Frank
J. Benton
Andrei Bursuc
Christophe Guettier
Éric Jacopin
Tristan Cazenave
AI4CE
19
1
0
02 Aug 2021
Neural Network Branch-and-Bound for Neural Network Verification
Neural Network Branch-and-Bound for Neural Network Verification
Florian Jaeckle
Jingyue Lu
M. P. Kumar
18
8
0
27 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified
  Framework for Graph Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
38
18
0
21 Jul 2021
Learning a Large Neighborhood Search Algorithm for Mixed Integer
  Programs
Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs
Nicolas Sonnerat
Pengming Wang
Ira Ktena
Sergey Bartunov
Vinod Nair
18
42
0
21 Jul 2021
Maximum Entropy Weighted Independent Set Pooling for Graph Neural
  Networks
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
Amirhossein Nouranizadeh
Mohammadjavad Matinkia
Mohammad Rahmati
Reza Safabakhsh
11
20
0
03 Jul 2021
Learning Primal Heuristics for Mixed Integer Programs
Learning Primal Heuristics for Mixed Integer Programs
Yunzhuang Shen
Yuan Sun
Andrew Craig Eberhard
Xiaodong Li
AI4CE
11
23
0
02 Jul 2021
Continuous-Depth Neural Models for Dynamic Graph Prediction
Continuous-Depth Neural Models for Dynamic Graph Prediction
Michael Poli
Stefano Massaroli
Clayton M. Rabideau
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
AI4CE
9
8
0
22 Jun 2021
Matrix Encoding Networks for Neural Combinatorial Optimization
Matrix Encoding Networks for Neural Combinatorial Optimization
Yeong-Dae Kwon
Jinho Choo
Iljoo Yoon
Minah Park
Duwon Park
Youngjune Gwon
25
87
0
21 Jun 2021
Learning Pseudo-Backdoors for Mixed Integer Programs
Learning Pseudo-Backdoors for Mixed Integer Programs
Aaron Ferber
Jialin Song
B. Dilkina
Yisong Yue
27
4
0
09 Jun 2021
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on
  Graphs
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
Runzhong Wang
Zhigang Hua
Gan Liu
Jiayi Zhang
Junchi Yan
Feng Qi
Shuang Yang
Jun Zhou
Xiaokang Yang
24
41
0
09 Jun 2021
Towards Lower Bounds on the Depth of ReLU Neural Networks
Towards Lower Bounds on the Depth of ReLU Neural Networks
Christoph Hertrich
A. Basu
M. D. Summa
M. Skutella
34
41
0
31 May 2021
Learning to Select Cuts for Efficient Mixed-Integer Programming
Learning to Select Cuts for Efficient Mixed-Integer Programming
Zeren Huang
Kerong Wang
Furui Liu
Hui-Ling Zhen
Weinan Zhang
M. Yuan
Jianye Hao
Yong Yu
Jun Wang
14
66
0
28 May 2021
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Yassine Yaakoubi
F. Soumis
Simon Lacoste-Julien
AI4TS
10
10
0
25 May 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with
  Graphs
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
Christopher Morris
Matthias Fey
Nils M. Kriege
GNN
28
23
0
12 May 2021
Towards Efficient Graph Convolutional Networks for Point Cloud Handling
Towards Efficient Graph Convolutional Networks for Point Cloud Handling
Yawei Li
He Chen
Zhaopeng Cui
Radu Timofte
Marc Pollefeys
Gregory S. Chirikjian
Luc Van Gool
3DPC
GNN
20
24
0
12 Apr 2021
Ecole: A Library for Learning Inside MILP Solvers
Ecole: A Library for Learning Inside MILP Solvers
Antoine Prouvost
Justin Dumouchelle
Maxime Gasse
Didier Chételat
Andrea Lodi
6
4
0
06 Apr 2021
Learning to Schedule Heuristics in Branch-and-Bound
Learning to Schedule Heuristics in Branch-and-Bound
Antonia Chmiela
Elias Boutros Khalil
Ambros M. Gleixner
Andrea Lodi
Sebastian Pokutta
28
59
0
18 Mar 2021
Deep Graph Matching under Quadratic Constraint
Deep Graph Matching under Quadratic Constraint
Quankai Gao
Fudong Wang
Nan Xue
Jin-Gang Yu
Guisong Xia
22
37
0
11 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
Meta-Learning with Graph Neural Networks: Methods and Applications
Meta-Learning with Graph Neural Networks: Methods and Applications
Debmalya Mandal
Sourav Medya
Brian Uzzi
Charu C. Aggarwal
AI4CE
31
21
0
27 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
SeaPearl: A Constraint Programming Solver guided by Reinforcement
  Learning
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning
Félix Chalumeau
Ilan Coulon
Quentin Cappart
Louis-Martin Rousseau
36
21
0
18 Feb 2021
Generative deep learning for decision making in gas networks
Generative deep learning for decision making in gas networks
Lovis Anderson
Mark Turner
T. Koch
AI4CE
13
7
0
03 Feb 2021
Solving Mixed Integer Programs Using Neural Networks
Solving Mixed Integer Programs Using Neural Networks
Vinod Nair
Sergey Bartunov
Felix Gimeno
Ingrid von Glehn
Pawel Lichocki
...
Pushmeet Kohli
Ira Ktena
Yujia Li
Oriol Vinyals
Yori Zwols
119
244
0
23 Dec 2020
Optimizing Large-Scale Fleet Management on a Road Network using
  Multi-Agent Deep Reinforcement Learning with Graph Neural Network
Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network
Juhyeon Kim
Kihyun Kim
GNN
16
12
0
12 Nov 2020
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