graph-anomaly-detection
There are 11 repositories under graph-anomaly-detection topic.
- pygod
pygod-team / pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
Language:Python 1215 GuansongPang / 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.
XiaoxiaoMa-MQ / 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 also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
kaize0409 / GCN_AnomalyDetection
Code for Deep Anomaly Detection on Attributed Networks (SDM2019)
Language:Python 126FelixDJC / Awesome-Graph-Anomaly-Detection
A collection of papers for graph anomaly detection, and published algorithms and datasets.
TrustAGI-Lab / ANEMONE
[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
Language:Python 46KimMeen / SL-GAD
[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
Language:Python 43An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.
Language:Python 42RongrongMa / GLocalKD
Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)
Language:Python 29- Language:Jupyter Notebook 26
mala-lab / TAM-master
Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"
Language:Python 21FanzhenLiu / DAGAD
Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022
Language:Python 15An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by ACM MM 2023.
Language:Python 7totoroyun / CoLA
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning (CoLA), TNNLS-21
Language:Python 4YuanchenBei / RAND
The source code of RAND, ICDM 2023.
Language:Python 3Graph-COM / GAD-EBM
[NeurIPS 2023 : GLFRONTIERS Workshop] GAD-EBM : Graph Anomaly Detection using Energy-Based Models
Language:Jupyter Notebook 2An official source code for paper "ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness", accepted by IEEE TNNLS.
Language:Python 1A repository for resources of deep learning-based graph anomaly detection.
KDEGroup / CMT
Source code for DASFAA'24 paper "Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph"
Language:Python 0The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear).
Language:Python 0- Language:Python