Neural Graph Collaborative Filtering

This is my improved version of ngcf for CIKM2019 challenge forked from:

Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, and Tat-Seng Chua (2019). Neural Graph Collaborative Filtering. In SIGIR'19, Paris, France, July 21-25, 2019.

Author: Dr. Xiang Wang (xiangwang at u.nus.edu)

Introduction

Neural Graph Collaborative Filtering (NGCF) is a new recommendation framework based on graph neural network, explicitly encoding the collaborative signal in the form of high-order connectivities in user-item bipartite graph by performing embedding propagation.

Environment Requirement

The code has been tested running under Python 3.6.5. The required packages are as follows:

• tensorflow == 1.8.0
• numpy == 1.14.3
• scipy == 1.1.0
• sklearn == 0.19.1