graph-anomaly-detection topic
pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
ADRepository-Anomaly-detection-datasets
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We al...
GCN_AnomalyDetection
Code for Deep Anomaly Detection on Attributed Networks (SDM2019)
ANEMONE
[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
SL-GAD
[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
Awesome-Graph-Anomaly-Detection
A collection of papers for graph anomaly detection, and published algorithms and datasets.
GRADATE
An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.
GLocalKD
Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)
GAD-NR
[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction