TAGNN
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[SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"
TAGNN

This is the code for the SIGIR 2020 Paper: TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation.
Usage
Requirements
Citation
Please cite our paper if you use the code:
@inproceedings{yu2020tagnn,
title={TAGNN: Target attentive graph neural networks for session-based recommendation},
author={Yu, Feng and Zhu, Yanqiao and Liu, Qiang and Wu, Shu and Wang, Liang and Tan, Tieniu},
booktitle={Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval},
pages={1921--1924},
year={2020}
}