MITGNN
Repo for paper Basket Recommendation with Multi-Intent Translation Graph Neural Network
Install / Use
/learn @JimLiu96/MITGNNREADME
Introduction
Repo for paper Basket Recommendation with Multi-Intent Translation Graph Neural Network
Citation
If you use the code, please cite our paper
@INPROCEEDINGS{9006266,
author={Z. {Liu} and X. {Li} and Z. {Fan} and S. {Guo} and K. {Achan}} and P. S. {Yu}},
booktitle={2020 IEEE International Conference on Big Data (Big Data)},
title={Basket Recommendation with Multi-Intent Translation Graph Neural Network},
year={2020}
Usage
python MITGNN.py --dataset inscart_3 --regs [1e-3] --alg_type intent_conv --embed_size 64 --layer_size [64,64,64] --lr 0.0001 --save_flag 1 --pretrain 0 --batch_size 4096 --num_intent 5 --epoch 1000 --node_dropout [0.1] --mess_dropout [0.1,0.1,0.1]
Environment
Python = 3.6 Tensorflow = 1.8+ Numpy, Scipy, scikit-learn should be installed accordingly.
Acknoledgement
We reuse some code from our previous paper basConv. You may refer this code for more information on the dataset.
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