Finding Hamiltonian Cycles with Graph Neural Networks
Author:
Affiliation:
1. University of Zagreb,Faculty of Electrical Engineering and Computing,Zagreb,Croatia
2. Genome Institute of Singapore, A*STAR,Laboratory of AI in Genomics,Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278502/10278578/10278690.pdf?arnumber=10278690
Reference35 articles.
1. Learning combinatorial optimization algorithms over graphs;khalil;Advances in neural information processing systems,2017
2. Graph neural networks: A review of methods and applications
3. Thomas Laurent, and Xavier Bresson;joshi;An efficient graph convolutional network technique for the travelling salesman problem,2019
4. A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem
5. Limit distribution for the existence of hamiltonian cycles in a random graph
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