ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.01629
  4. Cited By
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"

28 / 228 papers shown
Title
Ecole: A Gym-like Library for Machine Learning in Combinatorial
  Optimization Solvers
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
Antoine Prouvost
Justin Dumouchelle
Lara Scavuzzo
Maxime Gasse
Didier Chételat
Andrea Lodi
OffRL
13
46
0
11 Nov 2020
A Fast Graph Neural Network-Based Method for Winner Determination in
  Multi-Unit Combinatorial Auctions
A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions
Mengyuan Lee
Seyyedali Hosseinalipour
Christopher G. Brinton
Guanding Yu
H. Dai
14
17
0
29 Sep 2020
Boosting Ant Colony Optimization via Solution Prediction and Machine
  Learning
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning
Yuan Sun
Sheng Wang
Yunzhuang Shen
Xiaodong Li
Andreas T. Ernst
M. Kirley
22
28
0
29 Jul 2020
A Study of Learning Search Approximation in Mixed Integer Branch and
  Bound: Node Selection in SCIP
A Study of Learning Search Approximation in Mixed Integer Branch and Bound: Node Selection in SCIP
Kaan Yilmaz
Neil Yorke-Smith
14
24
0
08 Jul 2020
Learning Branching Heuristics for Propositional Model Counting
Learning Branching Heuristics for Propositional Model Counting
Pashootan Vaezipoor
Gil Lederman
Yuhuai Wu
Chris J. Maddison
Roger C. Grosse
S. Seshia
F. Bacchus
LRM
14
13
0
07 Jul 2020
Curriculum learning for multilevel budgeted combinatorial problems
Curriculum learning for multilevel budgeted combinatorial problems
Adel Nabli
Margarida Carvalho
AI4CE
9
4
0
07 Jul 2020
Hybrid Models for Learning to Branch
Hybrid Models for Learning to Branch
Prateek Gupta
Maxime Gasse
Elias Boutros Khalil
M. P. Kumar
Andrea Lodi
Yoshua Bengio
GNN
20
122
0
26 Jun 2020
Learning to Solve Vehicle Routing Problems with Time Windows through
  Joint Attention
Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention
Jonas K. Falkner
Lars Schmidt-Thieme
6
36
0
16 Jun 2020
Learning the Travelling Salesperson Problem Requires Rethinking
  Generalization
Learning the Travelling Salesperson Problem Requires Rethinking Generalization
Chaitanya K. Joshi
Quentin Cappart
Louis-Martin Rousseau
T. Laurent
19
108
0
12 Jun 2020
Combining Reinforcement Learning and Constraint Programming for
  Combinatorial Optimization
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
Quentin Cappart
Thierry Moisan
Louis-Martin Rousseau
Isabeau Prémont-Schwarz
A. Ciré
24
138
0
02 Jun 2020
Reinforcement Learning for Variable Selection in a Branch and Bound
  Algorithm
Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm
Marc Etheve
Zacharie Alès
Côme Bissuel
Olivier Juan
S. Kedad-Sidhoum
8
38
0
20 May 2020
A General Large Neighborhood Search Framework for Solving Integer Linear
  Programs
A General Large Neighborhood Search Framework for Solving Integer Linear Programs
Jialin Song
Ravi Lanka
Yisong Yue
B. Dilkina
30
20
0
29 Mar 2020
Deep Graph Matching via Blackbox Differentiation of Combinatorial
  Solvers
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
Michal Rolínek
Paul Swoboda
Dominik Zietlow
Anselm Paulus
Vít Musil
Georg Martius
18
113
0
25 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
184
172
0
09 Mar 2020
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
Giulia Zarpellon
Jason Jo
Andrea Lodi
Yoshua Bengio
14
96
0
12 Feb 2020
GLSearch: Maximum Common Subgraph Detection via Learning to Search
GLSearch: Maximum Common Subgraph Detection via Learning to Search
Yunsheng Bai
Derek Xu
Yizhou Sun
Wei Wang
GNN
20
31
0
08 Feb 2020
Learning Variable Ordering Heuristics for Solving Constraint
  Satisfaction Problems
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems
Wen Song
Zhiguang Cao
Jie Zhang
Andrew Lim
19
33
0
23 Dec 2019
A learning-based algorithm to quickly compute good primal solutions for
  Stochastic Integer Programs
A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs
Yoshua Bengio
Emma Frejinger
Andrea Lodi
Rahul Patel
S. Sankaranarayanan
23
20
0
17 Dec 2019
Neural Network Branching for Neural Network Verification
Neural Network Branching for Neural Network Verification
Jingyue Lu
M. P. Kumar
GNN
6
65
0
03 Dec 2019
Graph Neural Ordinary Differential Equations
Graph Neural Ordinary Differential Equations
Michael Poli
Stefano Massaroli
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
AI4CE
42
154
0
18 Nov 2019
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
Learning chordal extensions
Learning chordal extensions
Defeng Liu
Andrea Lodi
Mathieu Tanneau
6
7
0
16 Oct 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
11
13
0
28 Sep 2019
Accelerating Primal Solution Findings for Mixed Integer Programs Based
  on Solution Prediction
Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction
Jianpeng Ding
Chao Zhang
Lei Shen
Shengyin Li
Bing Wang
Yinghui Xu
Le Song
22
7
0
23 Jun 2019
A Deep Reinforcement Learning Approach for Global Routing
A Deep Reinforcement Learning Approach for Global Routing
Haiguang Liao
Wentai Zhang
Xuliang Dong
Barnabás Póczós
K. Shimada
L. Kara
11
82
0
20 Jun 2019
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
AI4CE
GNN
28
5,396
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
19
1,347
0
15 Nov 2018
Learning Heuristics for Quantified Boolean Formulas through Deep
  Reinforcement Learning
Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning
Gil Lederman
M. Rabe
Edward A. Lee
S. Seshia
13
38
0
20 Jul 2018
Previous
12345