Name: Fanzhen Liu
Type: User
Company: Macquaire University
Bio: Postdoc @ School of Computing, Macquarie University, Sydney, Australia, working on graph mining topics
Location: Sydney, Australia
Blog: https://fanzhenliu.github.io/
Fanzhen Liu's Projects
Anomaly detection related books, papers, videos, and toolboxes
Deep and conventional community detection related papers, implementations, datasets, and tools.
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.
Source Code for Published Papers
Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022
Source Code for Paper "Detecting the Evolving Community Structure in Dynamic Social Networks" WWWJ
Source Code for Paper "Evolutionary Community Detection in Dynamic Social Networks" IJCNN 2019
Personal profile
✨ Fanzhen's homepage. Demo at https://beautifuljekyll.com