# KGCN

**Repository Path**: fs57585/KGCN

## Basic Information

- **Project Name**: KGCN
- **Description**: A tensorflow implementation of Knowledge Graph Convolutional Networks
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-06-30
- **Last Updated**: 2021-06-30

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# KGCN

This repository is the implementation of [KGCN](https://dl.acm.org/citation.cfm?id=3313417) ([arXiv](https://arxiv.org/abs/1904.12575)):

> 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/blob/master/framework.png)

KGCN is **K**nowledge **G**raph **C**onvolutional **N**etworks for recommender systems, which uses the technique of graph convolutional networks (GCN) to proces knowledge graphs for the purpose of recommendation.


### Files in the folder

- `data/`
  - `movie/`
    - `item_index2entity_id.txt`: the mapping from item indices in the raw rating file to entity IDs in the KG;
    - `kg.txt`: knowledge graph file;
  - `music/`
    - `item_index2entity_id.txt`: the mapping from item indices in the raw rating file to entity IDs in the KG;
    - `kg.txt`: knowledge graph file;
    - `user_artists.dat`: raw rating file of Last.FM;
- `src/`: implementations of KGCN.




### Running the code
- Movie  
  (The raw rating file of MovieLens-20M is too large to be contained in this repository.
  Download the dataset first.)
  ```
  $ wget http://files.grouplens.org/datasets/movielens/ml-20m.zip
  $ unzip ml-20m.zip
  $ mv ml-20m/ratings.csv data/movie/
  $ cd src
  $ python preprocess.py -d movie
  ```
- Music
  - ```
    $ cd src
    $ python preprocess.py -d music
    ```
  - open `src/main.py` file;
    
  - comment the code blocks of parameter settings for MovieLens-20M;
    
  - uncomment the code blocks of parameter settings for Last.FM;
    
  - ```
    $ python main.py
    ```