FanzhenLiu
Postdoc @ School of Computing, Macquarie University, Sydney, Australia, working on graph mining topics
Macquaire UniversitySydney, Australia
Pinned Repositories
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Awesome-Deep-Community-Detection
Deep and conventional community detection related papers, implementations, datasets, and tools.
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.
CommunityDetection
Source Code for Published Papers
ComplexityJournal
DAGAD
Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022
DECS
Source Code for Paper "Detecting the Evolving Community Structure in Dynamic Social Networks" WWWJ
ECD
Source Code for Paper "Evolutionary Community Detection in Dynamic Social Networks" IJCNN 2019
FanzhenLiu
Personal profile
FanzhenLiu.github.io
✨ Fanzhen's homepage. Demo at https://beautifuljekyll.com
FanzhenLiu's Repositories
FanzhenLiu/Awesome-Deep-Community-Detection
Deep and conventional community detection related papers, implementations, datasets, and tools.
FanzhenLiu/DAGAD
Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022
FanzhenLiu/ECD
Source Code for Paper "Evolutionary Community Detection in Dynamic Social Networks" IJCNN 2019
FanzhenLiu/DECS
Source Code for Paper "Detecting the Evolving Community Structure in Dynamic Social Networks" WWWJ
FanzhenLiu/CommunityDetection
Source Code for Published Papers
FanzhenLiu/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.
FanzhenLiu/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
FanzhenLiu/ComplexityJournal
FanzhenLiu/FanzhenLiu
Personal profile
FanzhenLiu/FanzhenLiu.github.io
✨ Fanzhen's homepage. Demo at https://beautifuljekyll.com