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

Combinatorial optimization and reasoning with graph neural networks

International Joint Conference on Artificial Intelligence (IJCAI), 2021
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 / 233 papers shown
Title
Heuristic algorithms for the stochastic critical node detection problem
Heuristic algorithms for the stochastic critical node detection problem
Tuguldur Bayarsaikhan
Altannar Chinchuluun
Ashwin Arulselvan
Panos Pardalos
20
0
0
01 Dec 2025
Learning to Solve Weighted Maximum Satisfiability with a Co-Training Architecture
Learning to Solve Weighted Maximum Satisfiability with a Co-Training Architecture
Kaidi Wan
Minghao Liu
Yong Lai
GNN
214
0
0
24 Nov 2025
Warm-starting active-set solvers using graph neural networks
Warm-starting active-set solvers using graph neural networks
Ella J. Schmidtobreick
Daniel Arnström
Paul Hausner
Jens Sjölund
AI4CE
131
0
0
17 Nov 2025
Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem
Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem
Nguyen Gia Hien Vu
Yifan Tang
Rey Lim
Yifan Yang
Hang Ma
Ke Wang
Guanhua Wang
138
0
0
08 Nov 2025
Structural Priors and Modular Adapters in the Composable Fine-Tuning Algorithm of Large-Scale Models
Structural Priors and Modular Adapters in the Composable Fine-Tuning Algorithm of Large-Scale Models
Y. Wang
Di Wu
Feng Liu
Zhimin Qiu
Chenrui Hu
MoMeOffRL
416
3
0
06 Nov 2025
Geometric Algorithms for Neural Combinatorial Optimization with Constraints
Geometric Algorithms for Neural Combinatorial Optimization with Constraints
Nikolaos Karalias
Akbar Rafiey
Yifei Xu
Zhishang Luo
B. Tahmasebi
Connie Jiang
Stefanie Jegelka
106
0
0
28 Oct 2025
Generalizable Reasoning through Compositional Energy Minimization
Generalizable Reasoning through Compositional Energy Minimization
Alexandru Oarga
Yilun Du
PINNLRMAI4CE
152
1
0
23 Oct 2025
Multi-Action Self-Improvement for Neural Combinatorial Optimization
Multi-Action Self-Improvement for Neural Combinatorial Optimization
Laurin Luttmann
Lin Xie
133
1
0
14 Oct 2025
Bootstrap Learning for Combinatorial Graph Alignment with Sequential GNNs
Bootstrap Learning for Combinatorial Graph Alignment with Sequential GNNs
Marc Lelarge
AI4CE
104
0
0
03 Oct 2025
On The Expressive Power of GNN Derivatives
On The Expressive Power of GNN Derivatives
Yam Eitan
Moshe Eliasof
Yoav Gelberg
Fabrizio Frasca
Guy Bar-Shalom
Haggai Maron
158
0
0
02 Oct 2025
Revisit the Imbalance Optimization in Multi-task Learning: An Experimental Analysis
Revisit the Imbalance Optimization in Multi-task Learning: An Experimental Analysis
Yihang Guo
Tianyuan Yu
Liang Bai
Yanming Guo
Yirun Ruan
William Li
Weishi Zheng
116
2
0
28 Sep 2025
Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning
Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning
Alex Schutz
Victor-Alexandru Darvariu
Efimia Panagiotaki
Bruno Lacerda
Nick Hawes
AI4CE
91
1
0
23 Sep 2025
Unrolled Graph Neural Networks for Constrained Optimization
Unrolled Graph Neural Networks for Constrained Optimization
Samar Hadou
Alejandro Ribeiro
AI4CE
112
0
0
21 Sep 2025
On the Hardness of Learning GNN-based SAT Solvers: The Role of Graph Ricci Curvature
On the Hardness of Learning GNN-based SAT Solvers: The Role of Graph Ricci Curvature
Geri Skenderi
76
0
0
29 Aug 2025
A Note on Graphon-Signal Analysis of Graph Neural Networks
A Note on Graphon-Signal Analysis of Graph Neural Networks
Levi Rauchwerger
Ron Levie
104
0
0
25 Aug 2025
Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding
Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding
Pu Feng
Size Wang
Yuhong Cao
Junkang Liang
Rongye Shi
Wenjun Wu
LLMAGAI4CELRM
44
2
0
25 Aug 2025
Contrastive Representations for Temporal Reasoning
Contrastive Representations for Temporal Reasoning
Alicja Ziarko
Michal Bortkiewicz
Michal Zawalski
Benjamin Eysenbach
Piotr Milos
NAI
118
2
0
18 Aug 2025
Nonlocal Monte Carlo via Reinforcement Learning
Nonlocal Monte Carlo via Reinforcement Learning
Dmitrii Dobrynin
Masoud Mohseni
John Paul Strachan
116
1
0
14 Aug 2025
Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems
Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems
Shaodi Feng
Zhuoyi Lin
Jianan Zhou
Cong Zhang
Jingwen Li
Kuan-Wen Chen
Senthilnath Jayavelu
Yew-Soon Ong
104
1
0
08 Aug 2025
Flow-Aware GNN for Transmission Network Reconfiguration via Substation Breaker Optimization
Flow-Aware GNN for Transmission Network Reconfiguration via Substation Breaker Optimization
Dekang Meng
Rabab Haider
Pascal van Hentenryck
117
1
0
03 Aug 2025
Unsupervised Learning for the Elementary Shortest Path Problem
Unsupervised Learning for the Elementary Shortest Path Problem
Jingyi Chen
Xinyuan Zhang
Xinwu Qian
94
1
0
03 Aug 2025
Binarizing Physics-Inspired GNNs for Combinatorial Optimization
Binarizing Physics-Inspired GNNs for Combinatorial Optimization
Martin Krutsky
Gustav Sir
Vyacheslav Kungurtsev
Georgios Korpas
AI4CE
160
0
0
18 Jul 2025
Understanding Generalization in Node and Link Prediction
Understanding Generalization in Node and Link Prediction
Antonis Vasileiou
Timo Stoll
Christopher Morris
AI4CE
220
0
0
01 Jul 2025
ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering
Yuki Imajuku
Kohki Horie
Yoichi Iwata
Kensho Aoki
Naohiro Takahashi
Takuya Akiba
184
7
0
10 Jun 2025
Improving the Effective Receptive Field of Message-Passing Neural Networks
Improving the Effective Receptive Field of Message-Passing Neural Networks
Shahaf E. Finder
Ron Shapira Weber
Moshe Eliasof
Oren Freifeld
Eran Treister
200
0
0
29 May 2025
Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs
Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs
Sen Bai
Chunqi Yang
Xin Bai
Xin Zhang
Z. L. Jiang
150
0
0
27 May 2025
A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization
A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization
Shengyu Feng
Weiwei Sun
Shanda Li
Ameet Talwalkar
Yiming Yang
226
8
0
22 May 2025
Backward Oversmoothing: why is it hard to train deep Graph Neural Networks?
Backward Oversmoothing: why is it hard to train deep Graph Neural Networks?
Nicolas Keriven
158
0
0
22 May 2025
Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs
Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs
Jan Tönshoff
Martin Grohe
192
0
0
21 May 2025
Neural Pathways to Program Success: Hopfield Networks for PERT Analysis
Neural Pathways to Program Success: Hopfield Networks for PERT Analysis
Azgar Ali Noor Ahamed
188
0
0
08 May 2025
The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration
The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration
Jae Hyeok Lee
Minjun Kim
Minjun Kim
Changhyun Kwon
C. Kwon
174
1
0
21 Apr 2025
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
Weiwei Sun
Shengyu Feng
Shanda Li
Yiming Yang
LLMAG
308
15
0
06 Apr 2025
Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks
Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks
Fangtong Zhou
Xiaorui Liu
Ruozhou Yu
G. Xue
GNN
274
0
0
31 Mar 2025
A QUBO Framework for Team Formation
A QUBO Framework for Team Formation
Karan Vombatkere
Evimaria Terzi
Theodoros Lappas
305
1
0
29 Mar 2025
Graph neural networks extrapolate out-of-distribution for shortest paths
Graph neural networks extrapolate out-of-distribution for shortest paths
Robert Nerem
Samantha Chen
Sanjoy Dasgupta
Yusu Wang
301
5
0
24 Mar 2025
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic ProgrammingIntegration of AI and OR Techniques in Constraint Programming (CPAIOR), 2025
Minori Narita
Ryo Kuroiwa
J. Christopher Beck
204
1
0
20 Mar 2025
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block modelPhysical Review X (PRX), 2025
O. Duranthon
L. Zdeborová
385
1
0
03 Mar 2025
Rethinking Light Decoder-based Solvers for Vehicle Routing ProblemsInternational Conference on Learning Representations (ICLR), 2025
Ziwei Huang
Jianan Zhou
Zhiguang Cao
Yixin Xu
181
17
0
02 Mar 2025
Subsampling Graphs with GNN Performance Guarantees
Mika Sarkin Jain
Stefanie Jegelka
Ishani Karmarkar
Luana Ruiz
Ellen Vitercik
212
3
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23 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Maya Bechler-Speicher
Ben Finkelshtein
Fabrizio Frasca
Luis Muller
Jan Tönshoff
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Michael M. Bronstein
Mathias Niepert
Bryan Perozzi
Mikhail Galkin
Christopher Morris
OOD
519
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21 Feb 2025
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks
Niccolò Grillo
Andrea Toccaceli
Joël Mathys
Benjamin Estermann
Stefania Fresca
Roger Wattenhofer
AI4CELRM
447
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06 Feb 2025
Time to Rethink AI for Combinatorial Optimization: Classical Algorithms Remain Tough to Match
Time to Rethink AI for Combinatorial Optimization: Classical Algorithms Remain Tough to Match
Yikai Wu
Haoyu Zhao
Sanjeev Arora
712
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05 Feb 2025
Towards graph neural networks for provably solving convex optimization problems
Towards graph neural networks for provably solving convex optimization problems
Chendi Qian
Christopher Morris
224
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04 Feb 2025
Regularized Langevin Dynamics for Combinatorial Optimization
Regularized Langevin Dynamics for Combinatorial Optimization
Shengyu Feng
Yiming Yang
356
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01 Feb 2025
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
Lars C.P.M. Quaedvlieg
228
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Pareto Set Learning for Multi-Objective Reinforcement Learning
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Yu-Chang Wu
Xiaobin Huang
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12 Jan 2025
CLDG: Contrastive Learning on Dynamic Graphs
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Bin Shi
Teng Ma
Bo Dong
Haoyi Zhou
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315
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19 Dec 2024
Concept Learning in the Wild: Towards Algorithmic Understanding of
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Elad Shohama
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Search Strategy Generation for Branch and Bound Using Genetic
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DistrictNet: Decision-aware learning for geographical districting
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Alexandre Forel
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