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GitHub / 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.
Stars: 237
Forks: 41
Open Issues: 1
License: mit
Language:
Repo Size: 15.9 MB
Dependencies:
0
Created: over 2 years ago
Updated: 7 months ago
Last pushed: 11 months ago
Last synced: 7 months ago
Topics: anomaly-detection, anomaly-detection-algorithm, anomaly-detection-models, data-mining, deep-learning, fake-news, fake-news-detection, fraud-detection, graph-anomaly-detection, graph-mining, graph-mining-systems, graphs, machine-learning, malware-detection, misinformation, rumor-detection, security-tools
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