graph-anomaly-detection

There are 25 repositories under graph-anomaly-detection topic.

  • pygod

    pygod-team/pygod

    A Python Library for Graph Outlier Detection (Anomaly Detection)

    Language:Python1.4k1768138

  • 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.

    4127260

  • 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.

    3656052

  • mala-lab/Awesome-Deep-Graph-Anomaly-Detection

    Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection

    133007

  • kaize0409/GCN_AnomalyDetection

    Code for Deep Anomaly Detection on Attributed Networks (SDM2019)

    Language:Python1312825

  • FelixDJC/Awesome-Graph-Anomaly-Detection

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

    1271014

  • FelixDJC/GRADATE

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

    Language:Python63155

  • Graph-COM/GAD-NR

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

    Language:Jupyter Notebook49182

  • TrustAGI-Lab/ANEMONE

    [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".

    Language:Python491112

  • KimMeen/SL-GAD

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

    Language:Python482411

  • mala-lab/GGAD

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

    Language:Python48031

  • mala-lab/TAM-master

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

    Language:Python42142

  • RongrongMa/GLocalKD

    Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)

    Language:Python321311

  • mala-lab/UNPrompt

    Official Code for IJCAI25 paper "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"

    Language:Python20012

  • FanzhenLiu/DAGAD

    Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022

    Language:Python19104

  • FelixDJC/NLGAD

    An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by ACM MM 2023.

    Language:Python10112

  • YunyunWan/CoLA

    Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning (CoLA), TNNLS-21

    Language:Python8003

  • YuanchenBei/RAND

    The source code of Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection (RAND), ICDM 2023.

    Language:Python710

  • FelixDJC/ARISE

    An official source code for paper "ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness", accepted by IEEE TNNLS.

    Language:Python6111

  • Graph-COM/GAD-EBM

    [NeurIPS 2023 : GLFRONTIERS Workshop] GAD-EBM : Graph Anomaly Detection using Energy-Based Models

    Language:Jupyter Notebook5100

  • KDEGroup/CMT

    Source code for DASFAA'24 paper "Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph"

    Language:Python3100

  • mala-lab/ACT

    The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear).

    Language:Python0001

  • mala-lab/HimNet

    Code for ECMLPKDD23 paper "Graph-level Anomaly Detection via Hierarchical Memory Networks" (HimNet)

    Language:Python00

  • mala-lab/HRGCN

    Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"

    Language:Python00

  • YunyunWan/pygod

    A Python Library for Graph Outlier Detection (Anomaly Detection)

    Language:Python10