ANEMONE

A Python Library for Graph Outlier Detection (Anomaly Detection)

An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection

Code for Deep Anomaly Detection on Attributed Networks (SDM2019)

A collection of papers for graph anomaly detection, and published algorithms and datasets.

An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.

Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"

Anomaly detection method that incorporates multi-scale features to sparse coding

[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".

[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction

Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"