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MITGNN

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

Install / Use

/learn @JimLiu96/MITGNN
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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.

Related Skills

View on GitHub
GitHub Stars17
CategoryDevelopment
Updated10mo ago
Forks4

Languages

Python

Security Score

67/100

Audited on Jun 4, 2025

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