weicy15 / mgl

Meta Graph Learning for Long-tail Recommendation

This repository is the official implementation of MGL.

Requirements

To install requirements:

conda env create -f environment.yaml

Data Process

To prepare the data for the model training:

python data_process.py

Training

To train the model(s) in the paper:

python train.py

Output: the file "model.tar"

mgl's Issues

Can't run normally

Hi, thank you for your code, very impressive work. But based on the readme file, I can't run the code normally, for example, load_data.py lacks the data_load function, Test_dataset, and Test_dataset_one_plus_all class. If possible, could you please update the complete code

No module named 'util'

Thanks for your code. When I tried to run the code, I found that there did not exist the implementation of util or metric which is imported in evaluate.py file. Could you upload the missing part?

你好，请问这个代码是不是不全啊

你好请问这个代码是不是不全啊，请问能公布完整代码吗