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A fast graph-based maximum connected-component learning algorithm is proposed to design one-class classifiers in high-dimensional feature spaces, which exploits the fast maximum connected-component ...

Anomaly detection needs to learn one-class classifiers from normal instances in observation or feature spaces. In the Neyman–Pearson criterion, the design of on ...

A graph is a mathematical structure used to model pairwise relations between objects. It is made up of vertices (also called nodes or points) which are connected by edges (also called links or lines).

I'm sorry to disturb you again I want to train a graph classification model, datasets are different from traditional graph classification datasets, because in this datasets, each graph contains some ...

PRESS RELEASE GlobeNewswire Feb. 12, 2020, 03:26 AM Dublin, Feb. 12, 2020 (GLOBE NEWSWIRE) -- The "Global Graph Database Market Size, Market Share, Application Analysis, Regional Outlook, Growth ...