iWCT-GraphX-algorithm is a project aimed at implementing graph algorithms upon Apache Spark and GraphX. The project is a subsidiary of SJTU-iWCT-Spark which also researches in Big Data and Spark MLlib.
Note: The website you are viewing is realized with MDwiki and hosted on GitHub sjtu-iwct/graphx-webpage. The algorithm source codes are hosted on GitHub sjtu-iwct/graphx-algorithm. They are both open source projects and need your contribution.
- An overall review of the graphx-algorithm project
- Realized with MDwiki which uses [Markdown][markdown] as its input markup language
- Provides tutorials not only about GraphX and our API, but the GraphX source code review
- Built completely upon Apache GraphX
- Implements algorithms both in C/C++ and GraphX-based Scala for comparison
- Provides detailed standard annotations and examples
- Any modern Webbrowser
- Apache Spark > 1.2.0
- Apache Hadoop > 2.3
- Git client
- Any IDE (IntelliJ IDEA > 13 recommended) or code editor
- Start from Tutorials
- Start from the Download page
- Start from How to contribute
Professors
- Xinbing Wang, Distinguished Professor
- Li Song, Associate Professor
Students
- Ge Chen
- Yuchuan Gou
- Qinghao Huang
- Wenguang Huang
- Weipeng Liu
- Yan Yan
- Hangchen Yu
- Chang Zhou
The project is currently licensed under GNU GPLv2.