Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Attribute graph anomaly detection aims to identify nodes that significantly deviate from the majority of normal nodes, and has received increasing attention due to the ubiquity and complexity of graph ...

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

Darts is Python library that aims to be the scikit-learn for time series analysis. By providing a unified and consistent API, Darts simplifies the end-to-end process of working with time series data.

However, there has been little research on knowledge graph construction based on power transmission and transformation projects. The goal is to detect defects in power transmission and transformation ...

python machine-learning opensource toolkit pytorch outlier-detection deeplearning fraud-detection security-tools anomaly-detection graph-neural-networks graphmining graph-anomaly-detection Updated on ...