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IGMC

SNU Embedding Systems and Applications 2020 Fall

Please note that this implementation of IGMC is not completely time-efficient. It has only been correctly been trained and tested on the MovieLens100K dataset, and scalability is not ensured. After all, I'm just a noob undergrad.

GPU memory 16GB required for training.

To train the model on MovieLens100K dataset:

pip install -r requirements.txt  
python main.py --train_igmc

Once trained (which takes 80 epochs), the model will be saved in the model_dict folder.

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