FanzhenLiu

Awesome-Deep-Community-Detection

Deep and conventional community detection related papers, implementations, datasets, and tools.

DAGAD

Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022

ECD

Source Code for Paper "Evolutionary Community Detection in Dynamic Social Networks" IJCNN 2019

DECS

Source Code for Paper "Detecting the Evolving Community Structure in Dynamic Social Networks" WWWJ

CommunityDetection

Source Code for Published Papers

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.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

ComplexityJournal

FanzhenLiu

Personal profile

FanzhenLiu.github.io

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