https://github.com/raphaelavalos/attention_tsp_graph_net

Implementation of Attention Solves Your TSP, Approximately (W. Kool et al.) with the DeepMind's Graph Nets library
https://github.com/raphaelavalos/attention_tsp_graph_net

Last synced: 3 months ago
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Implementation of Attention Solves Your TSP, Approximately (W. Kool et al.) with the DeepMind's Graph Nets library

• Host: GitHub
• URL: https://github.com/raphaelavalos/attention_tsp_graph_net
• Owner: raphaelavalos
• License: gpl-3.0
• Created: 2018-12-04T12:40:31.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-01-24T22:51:11.000Z (over 5 years ago)
• Last Synced: 2024-01-16T19:23:50.524Z (5 months ago)
• Language: Python
• Size: 70.3 KB
• Stars: 4
• Watchers: 2
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-gcn - raphaelavalos/attention_tsp_graph_net

README

        
# Attention Solves Your TSP, Approximately

Implementation of Attention Solves Your TSP, Approximately (W. Kool et al.) with the DeepMind's Graph Nets library

Attention Solves Your TSP, Approximately  

Wouter Kool, Herke van Hoof, Max Welling  

https://arxiv.org/abs/1803.08475

Relational inductive biases, deep learning, and graph networks  

Peter W. Battaglia et al.  

https://arxiv.org/abs/1806.01261  

https://github.com/deepmind/graph_nets