https://github.com/xyjigsaw/knowledge-graph-and-visualization-demo

There are 2D-Search and 3D-Graph-View for knowledge graph visualization.
https://github.com/xyjigsaw/knowledge-graph-and-visualization-demo

javascript knowledge-graph neo4j python

Last synced: 5 days ago
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There are 2D-Search and 3D-Graph-View for knowledge graph visualization.

• Host: GitHub
• URL: https://github.com/xyjigsaw/knowledge-graph-and-visualization-demo
• Owner: xyjigsaw
• License: mit
• Created: 2020-03-03T07:50:58.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2023-11-05T09:00:06.000Z (about 1 year ago)
• Last Synced: 2024-12-05T06:10:11.574Z (18 days ago)
• Topics: javascript, knowledge-graph, neo4j, python
• Language: Python
• Size: 9.18 MB
• Stars: 191
• Watchers: 3
• Forks: 53
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Knowledge-Graph-Visualization-Demo

![](https://img.shields.io/badge/Status-Developed-brightgreen.svg)

**Archive**

Neo4j powered KG visulization

There are 2D-Search and 3D-Graph-View for knowledge graph visualization. KG data (COVID-19 traces data from tencent) csv files are in folder Import2Neo4j.

---

## Folder List

- [Import2Neo4j](Import2Neo4j): Import data to Neo4j

- [Neo4j-3D](Neo4j-3D): Read data from Neo4j and use 3D visualization

- [KG-Search-Flask](KG-Search-Flask): Flask platform for search

- [KG-Search-Django](KG-Search-Django): Django platform for search

---

## Folder: Import2Neo4j

### Neo4j Configuration

- Database Name：COVID-19

- Username：neo4j

- Password：123456

### Steps

1. Put all CSV files into the Import folder shown below

![](https://github.com/xyjigsaw/image/blob/master/upload/Neo4j-Import202003031535.png)

2. CYPHER4csvImport: Input the eight statements on by one in this file on the Neo4j console

3. After importing, you will see:

- Node Label: (EVENT, LOCATION, PATIENT, TOPIC)

- Relationship Types: (EVENT_LOCATION, EVENT_TOPIC, PATIENT_EVENT, PATIENT_LOCATION)

---

## Folder: Neo4j-3D

It is based on js using [3d-force-graph](https://github.com/vasturiano/3d-force-graph), which can run directly.

### Preview

![](https://github.com/xyjigsaw/Knowledge-Graph-Visualization-Demo/blob/master/KG-3D-2.png)

### index.html Setting

![](https://github.com/xyjigsaw/image/blob/master/upload/ncp-3d-graph202003031559.png)

1. Configure the server address (no port number required), Neo4j username, and password in the first red box shown above.

2. The second box is the CYPHER statement, which limits the return number to 20000. The return value is json, and the search box can be added to HTML later.

### Noted problem

[issue2](https://github.com/xyjigsaw/Knowledge-Graph-And-Visualization-Demo/issues/2)

---

## Folder: KG-Search-Flask

- **Provide KG graph and triple lists**

- The front-end code and back-end code **have been** separated.

### Requirements

- flask

- py2neo

- neo4j

- cpca

- jieba

### Run

```

cd KG-Search-Flask

unzip static.zip

python app.py

```

Address: 127.0.0.1:5000

### Search

**Support 3 disorder keywords (space seperated) at most**

**Examples**

- 1 keyword

  - 江苏苏州

  - 确诊

  - 王某

- 2 keywords

  - 隔离 苏州

  - 苏州 男性

  - 苏州 2月2日

  - 2月2日 王某

- 3 keywords

  - 2月2日 苏州 确诊 

### JSON API

**GET EXAMPLE**

- 127.0.0.1:5000/api/2月2日 苏州 确诊

**POST EXAMPLE**

- 127.0.0.1:5000/api

body data: {"string": "2月2日 苏州 确诊"}

### Preview

![](https://github.com/xyjigsaw/image/blob/master/upload/KG-Search3202003081542.png)

---

## Folder: KG-Search-Django

- **Django Version for KG-Search**

- **Provide KG graph and triple lists**

- The front-end code and back-end code **are not** separated.

- Flask version is recommended.

### Run

```

cd KG-Search-Django/web

unzip static.zip

cd ..

python manage.py runserver

```

Address: 127.0.0.1:8000

---