KDD2019-MEIRec

KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation

paper: http://www.shichuan.org/doc/67.pdf

Contact

Note

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.

Requirements

tensorflow==1.1.0

numpy==1.12.1

Running the model

python main.py

Reference

@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},

}