DGLD
Graph anomaly detector
An open-source library for training and evaluating graph anomaly detection models
Deep Graph Outlier Detection
64 stars
2 watching
9 forks
Language: Python
last commit: about 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
pygod-team/pygod | Detects anomalies in graph data using various algorithms | 1,336 |
datamllab/pyodds | An end-to-end outlier detection system that integrates machine learning algorithms with database support | 252 |
zhao-tong/graph-anomaly-loss | A software package for detecting anomalies in graphs by learning patterns and features | 40 |
safe-graph/dgfraud | A toolbox for building and comparing graph neural network-based fraud detection models | 693 |
hendrycks/outlier-exposure | Anomaly detection framework utilizing out-of-distribution data to improve deep learning model performance. | 548 |
yzhao062/suod | A Python framework for accelerating large-scale unsupervised outlier detection in heterogeneous datasets | 380 |
orobix/visual-feature-attribution-using-wasserstein-gans-pytorch | A PyTorch implementation of a feature attribution technique using Wasserstein Generative Adversarial Networks for anomaly detection in medical images. | 93 |
safe-graph/ugfraud | A toolbox for unsupervised graph-based fraud detection using multiple algorithms and techniques | 129 |
seldonio/alibi-detect | A Python library for detecting outliers, adversarial examples, and data drift in various types of data | 2,247 |
datamllab/tods | An automated system for detecting outliers in time-series data using machine learning algorithms and human expertise. | 1,459 |
iqiukp/svdd-matlab | A MATLAB implementation of Support Vector Data Description (SVDD) for anomaly detection and classification. | 78 |
arundo/adtk | A toolkit for rule-based and unsupervised anomaly detection in time series data | 1,098 |
kdd-opensource/deepadots | A benchmarking pipeline for evaluating anomaly detection methods on time series data using deep learning algorithms | 566 |
yingtongdou/care-gnn | An implementation of a graph neural network-based fraud detector designed to counter camouflaged fraudsters | 246 |
business-science/anomalize | A package providing functions to decompose and detect anomalies in time series data | 339 |