learning-routing-dro's Issues
How one-dimensional convolution works on a node and its k-nearest neighbors
How one-dimensional convolution works on a node and its k-nearest neighbors?
Specifically, given a node
Model checkpoints
Hi, thank you for the great work.
I wanted to ask if you could provide the model checkpoints used in the evaluation of the paper together with the code,
such that one can run them as a baseline?
Your help is much appreciated.
The complete code and demos for training/evaluating
Thanks for your paper "Learning to Solve Routing Problems via Distributionally Robust Optimization", which is an interesting direction.
However, could you please double-check the provided source code?
For example, there doesn't seem to be any data.data
module in this repository, or is it a dependency?
https://github.com/jiang-yuan/Learning-routing-DRO/blob/main/run.py#L9
Also, it would be much more helpful if you can provide a few demos for reproducing the training/evaluating processes in the paper (currently there is only a python3 run.py
).
HI, I need your help.
Hello, author! I enjoy reading your article, but encounter a problem when running your code and found no data. Could you please provide a data file? Thank you very much if you can!
Could you please provide the code for moudle "data.data"?
Thanks for your paper on generalization about routing problems, which helps me a lot.
But I found that the code for data.data is missing. Could you please provide it? This will help me better understand the paper. Thank you very much
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