Improving Graph Convolutional Network with Learnable Edge Weights and Edge-Node Co-Embedding for Graph Anomaly Detection

The era of Industry 4.0 is gradually transforming our society into a data-driven one, which can help us uncover valuable information from accumulated data, thereby improving the level of social governance. The detection of anomalies, is crucial for maintaining societal trust and fairness, yet it pos...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Xiao Tan, Jianfeng Yang, Zhengang Zhao, Jinsheng Xiao, Chengwang Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-04-01
Edice:	Sensors
Témata:	graph anomaly detection label propagation graph convolutional neural networks semi-supervised learning
On-line přístup:	https://www.mdpi.com/1424-8220/24/8/2591
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!