Working with Hyperspheres in Machine Learning part1.
Deep Graph-Level Orthogonal Hypersphere Compression for Anomaly Detection(arXiv) Author : Yunhe Zhang, Yan Sun, Jinyu Cai, Jicong Fan Abstract : Graph-level anomaly detection aims to identify anomalous graphs from a collection of graphs in an unsupervised manner. A common assumption of anomaly detection is that a reasonable decision boundary has…
Working with Hyperspheres in Machine Learning part1. Deep Graph-Level Orthogonal Hypersphere Compression for Anomaly Detection(arXiv) Author : Yunhe Zhang, Yan Sun, Jinyu Cai, Jicong Fan Abstract : Graph-level anomaly detection aims to identify anomalous graphs from a collection of graphs in an unsupervised manner. A common assumption of anomaly detection is that a reasonable decision boundary has… machine-learning
Working Hyperspheres Machine Learning part1 Deep GraphLevel Orthogonal Hypersphere Compression Anomaly DetectionarXiv Author Yunhe Zhang Yan Sun Jinyu Cai Jicong Fan Abstract Graphlevel anomaly detection aim identify anomalous graph collection graph unsupervised manner common assumption anomaly detection reasonable decision boundary has… machinelearning