Outlier Detection

ADBench: Anomaly Detection Benchmark

Benchmarking Node Outlier Detection on Graphs

ELECT: Toward Unsupervised Outlier Model Selection

ADBench

ADBench Anomaly Detection Benchmark

PyGOD (Python Graph Outlier Detection)

A Python Library for Graph Outlier Detection (Anomaly Detection) and Its Benchmark

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions

Contrastive Attributed Network Anomaly Detection with Data Augmentation

Automatic Unsupervised Outlier Model Selection

Revisiting Time Series Outlier Detection: Definitions and Benchmarks

SUOD: Accelerating Large-scale Unsupervised Heterogeneous Outlier Detection

Outlier detection (OD) is a key data mining task for identifying abnormal objects from general samples with numerous high-stake applications including fraud detection and intrusion detection. Due to the lack of ground truth labels, practitioners …