graph-anomaly-detection
There are 13 repositories under graph-anomaly-detection topic.
- pygod
pygod-team / pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
Language:Python 1267 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 128FelixDJC / Awesome-Graph-Anomaly-Detection
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.
Language:Python 44KimMeen / SL-GAD
[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
Language:Python 43mala-lab / TAM-master
Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"
Language:Python 32- Language:Jupyter Notebook 30
RongrongMa / GLocalKD
Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)
Language:Python 29- Language:Python 24
FanzhenLiu / DAGAD
Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022
Language:Python 17An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by ACM MM 2023.
Language:Python 8totoroyun / CoLA
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning (CoLA), TNNLS-21
Language:Python 7YuanchenBei / RAND
The source code of Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection (RAND), ICDM 2023.
Language:Python 5An official source code for paper "ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness", accepted by IEEE TNNLS.
Language:Python 3Graph-COM / GAD-EBM
[NeurIPS 2023 : GLFRONTIERS Workshop] GAD-EBM : Graph Anomaly Detection using Energy-Based Models
Language:Jupyter Notebook 2A 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 0
Code for ECMLPKDD23 paper "Graph-level Anomaly Detection via Hierarchical Memory Networks" (HimNet)
Language:PythonCode Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"
Language:Python