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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: 14 days 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 (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-01-24T22:51:11.000Z (almost 6 years ago)
- Last Synced: 2024-08-02T08:10:16.352Z (4 months ago)
- Language: Python
- Size: 70.3 KB
- Stars: 4
- Watchers: 2
- Forks: 4
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- 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/1803.08475Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia et al.
https://arxiv.org/abs/1806.01261
https://github.com/deepmind/graph_nets