MATH 490 Group 7: Philip Dohm, Roger Qiu, Jonathan Shobrook
- ./final.ipynb - Implements GNN to solve the Traveling Salesman Problem
- ./data/figures/train_stats.png - Visualization of training/generalization statistics
- ./data/data/pickles/ - Model training checkpoints and training/testing statisitics
To run: just run the final.ipynb file.
Description:
Tensorflow and graphs_nets implementation of solving the Traveling Salesman Problem using a Graph Neural Network.
Dependencies:
- random
- tensorflow
- networkx
- numpy
- pandas
- time
- pickle
- tsp_solver
- graphs_nets