A differentiable approach to the maximum independent set problem using dataless neural networks-Reference-Cited by-同舟云学术

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A differentiable approach to the maximum independent set problem using dataless neural networks

Published:2022-11 Issue: Volume:155 Page:168-176
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Alkhouri Ismail R.^ORCID,Atia George K.,Velasquez Alvaro

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference35 articles.

1. Tensorflow: A system for large-scale machine learning;Abadi,2016

2. Learning what to defer for maximum independent sets;Ahn,2020

3. Branch-and-reduce exponential/FPT algorithms in practice: A case study of vertex cover;Akiba;Theoretical Computer Science,2016

4. Statistical mechanics of complex networks;Albert;Reviews of Modern Physics,2002

5. Fast local search for the maximum independent set problem;Andrade;Journal of Heuristics,2012

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Differential Approach for Several NP-hard Optimization Problems;Lecture Notes in Computer Science;2024

2. Differentiable Discrete Optimization Using Dataless Neural Networks;Combinatorial Optimization and Applications;2023-12-09

3. Automatic generation of a hybrid algorithm for the maximum independent set problem using genetic programming;Applied Soft Computing;2023-09

4. An accelerated end-to-end method for solving routing problems;Neural Networks;2023-07

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