推薦系統開源代碼

This is the code for the WWW-2019 Paper: Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks. We have implemented our methods in Tensorflow.

https://github.com/CRIPAC-DIG/NGNN

Knowledge Graph Convolutional Networks for Recommender Systems
Hongwei Wang, Miao Zhao, Xing Xie, Wenjie Li, Minyi Guo.
In Proceedings of The 2019 Web Conference (WWW 2019)

https://github.com/hwwang55/KGCN

DKN: Deep Knowledge-Aware Network for News Recommendation
Hongwei Wang, Fuzheng Zhang, Xing Xie, Minyi Guo
The Web Conference 2018 (WWW 2018)

https://github.com/hwwang55/DKN

Representation Learning for Attributed Multiplex Heterogeneous Network.

Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia YangJingren ZhouJie Tang

https://github.com/THUDM/GATNE

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks". See the paper: https://arxiv.org/abs/1706.04148

https://github.com/mquad/hgru4rec

Zemin Liu, Vincent W. Zheng, Zhou Zhao, Hongxia Yang, Kevin Chen-Chuan Chang, Minghui Wu, and Jing Ying. 2018. Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network. In Proceedings of The 2018 Web Conference (WWW 2018). ACM. New York, NY. USA, 10 pages.

https://github.com/vwz/SPE

microsoft/recommenders

https://github.com/Microsoft/Recommenders

發表評論
所有評論
還沒有人評論,想成為第一個評論的人麼? 請在上方評論欄輸入並且點擊發布.
相關文章