graph-anomaly-detection
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A Python Library for Graph Outlier Detection (Anomaly Detection)
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Nov 14, 2024 - Python
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
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Oct 1, 2025
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 contribut…
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Jul 10, 2023
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
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Oct 14, 2025
A collection of papers for graph anomaly detection, and published algorithms and datasets.
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Dec 25, 2023
Code for Deep Anomaly Detection on Attributed Networks (SDM2019)
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Sep 13, 2021 - Python
An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.
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Dec 1, 2023 - Python
Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"
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Aug 13, 2025 - Python
[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
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Nov 22, 2024 - Jupyter Notebook
[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
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Sep 9, 2021 - Python
[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
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Oct 8, 2021 - Python
Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"
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Apr 28, 2024 - Python
Official PyTorch implementation of KDD2025 paper "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection"
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Sep 20, 2025 - Python
Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)
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Dec 12, 2021 - Python
Official Code for IJCAI25 paper "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"
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Jun 7, 2025 - Python
Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022
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Mar 14, 2023 - Python
[NeurIPS 2025] Official PyTorch implementation of ''Semi-supervised Graph Anomaly Detection via Robust Homophily Learning''https://arxiv.org/abs/2506.15448
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Oct 15, 2025 - Python
An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by ACM MM 2023.
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Dec 1, 2023 - Python
Official PyTorch implementation of ICLR'25 paper "Open-Set Graph Anomaly Detection via Normal Structure Regularisation"
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Jul 30, 2025 - Python
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning (CoLA), TNNLS-21
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May 12, 2021 - Python
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