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Repo for paper Basket Recommendation with Multi-Intent Translation Graph Neural Network

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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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Repo for paper Basket Recommendation with Multi-Intent Translation Graph Neural Network

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