XiaoxiaoMa-MQ/Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
MIT
Stargazers
- AbhiAdroitMLIndiana University
- Coder-YuThe University of Queensland
- DiYi1999
- domvwtLondon, UK
- fallingleaflunSouth China University of Technology
- FanzhenLiuMacquaire University
- Fisher1991
- fly51flyPRIS
- fuzzypants123
- GeZhangMQ
- he0x
- hmatalonga@Farfetch
- howitcouldbe
- huankoh
- JiaWu-RepositoryMacquarie University
- jx291605427
- kayzliuUniversity of Illinois Chicago
- KimMeenGriffith University
- KutayTasciBilkent University
- learn-to-abandon
- liujie40
- LongxiaozeTokyo
- neolyoMacquarie University
- Orion-wycSoutheast University / Huawei HiSilicon
- sethGu
- sonderlauHangzhou Dianzi University
- umnooobNanJing University
- wyzjackNortheastern University
- XiaoxiaoMa-MQ
- YingtongDouVisa Research
- yixinliu233Monash University
- ylic204Central South University
- YuanchenBeiZhejiang University
- zhangjianweibjinspur
- ZhixunLEEThe Chinese University of Hong Kong
- zhouchunpongZJU