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"DAGAD: Data Augmentation for Graph Anomaly Detection" by Fanzhen Liu, Xiaoxiao Ma et al.

Graph anomaly detection in this paper aims to distinguish abnormal nodes that behave differently from the benign ones accounting for the majority of graph-structured instances. Receiving increasing attention from both academia and industry, yet existing research on this task still suffers from two critical issues when learning informative anomalous behavior from graph data. For one thing, anomalies are usually hard to capture because of their subtle abnormal behavior and the shortage of background knowledge about them, which causes severe anomalous sample scarcity. Meanwhile, the overwhelming majority of objects in real-world graphs are normal, bringing the class imbalance problem as well. To bridge the gaps, this paper devises a novel Data Augmentation-based Graph Anomaly Detection (DAGAD) framework for attributed graphs, equipped with three specially designed modules: 1) an information fusion module employing graph neural network encoders to learn representations, 2) a graph data aug ....

Data Augmentation Based Graph Anomaly Detection , Anomalous Sample Scarcity , Anomaly Detection , Class Imbalance , Data Augmentation , Graph Mining , Graph Neural Networks , Semi Supervised Learning ,

Research from Institut Teknologi Bandung in the Area of Risk Management Described (Cyber Insurance Ratemaking: A Graph Mining Approach): Insurance - Risk Management

2022 JAN 10 By a News Reporter-Staff News Editor at Insurance Daily News Fresh data on insurance are presented in a new report. According to news reporting out of Bandung, Indonesia, by NewsRx editors, research stated,“ Cyber insurance ratemaking is a procedure used to set rates for cyber insurance products provided by insurance companies. ....

West Java , Jawa Barat , Inovasi Nasional , Sapto Wahyu Indratno , Yeftanus Antonio , Kementerian Riset , Rinovia Simanjuntak , Teknologi Badan Riset , Statistics Research Division , Insurance Daily , Reporter Staff News Editor , Badan Riset , Teknologi Bandung , Information Communication , Cyber Insurance Ratemaking , Graph Mining ,

Risks Journal Issues Research Articles in December 2021 Edition

Risks, a peer-reviewed open access journal for research and studies on insurance and financial risk management, published research articles, including the following topics, in its December 2021 edition:. Does Engagement Partners' Effort Affect Audit Quality? Adaptation to the Risks of Digitalization: New Survival Trends for States in a Multipolar World. ....

Multidisciplinary Digital Publishing Institute , Central Bank Intervention In Walrasian Asset , Molecular Diversity Preservation International , News Service , Targeted News , Parameter Learning , Change Detection Using , Particle Filter , Engagement Partner Effort Affect Audit , Internal Control , Cyber Insurance Ratemaking , Graph Mining , Downside Beta , Downside Gamma , Better Capital Asset Pricing , Risk Measurement Models , Bitcoin Market , Common Factor Cause Specific Mortality , Evolutionary Game Analysis , Partner Behavior , Rurale Payment Market , New Survival Trends , Bankruptcy Prediction , Doubly Stochastic Poisson Forward Intensity Model , Quantum Support Vector Regression , Natural Catastrophe Risks ,