KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation
paper: http://www.shichuan.org/doc/67.pdf
Shaohua Fan, Email:fanshaohua92@163.com
Data in the train_data.txt and test_data.txt is formated as 'features label', and features are constituted by term ids. Note that the released data is only a small subset of the data used in the paper.
tensorflow==1.1.0
numpy==1.12.1
python main.py
@inproceedings{
author = {Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan shi, Linmei Hu, Biyu Ma, and Yongliang Li},
title = {Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation},
booktitle = {Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’19)},
year = {2019},
publisher = {ACM},
address = {Anchorage, AK, USA},
}