GitHub topics: graph-anomaly-detection
mala-lab/UNPrompt
Code for "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts" (IJCAI25)
Language: Python - Size: 5.07 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 18 - Forks: 2
mala-lab/Awesome-Deep-Graph-Anomaly-Detection
Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection.
Size: 20.7 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 104 - Forks: 9
pygod-team/pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
Language: Python - Size: 1.04 MB - Last synced at: 11 days ago - Pushed at: 7 months ago - Stars: 1,420 - Forks: 135
mala-lab/GGAD
Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"
Language: Python - Size: 3.59 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 47 - Forks: 1
Graph-COM/GAD-NR
[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
Language: Jupyter Notebook - Size: 25.6 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 42 - Forks: 2
TrustAGI-Lab/ANEMONE
[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
Language: Python - Size: 4.6 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 48 - Forks: 12
kaize0409/GCN_AnomalyDetection
Code for Deep Anomaly Detection on Attributed Networks (SDM2019)
Language: Python - Size: 19.4 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 129 - Forks: 25
KimMeen/SL-GAD
[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
Language: Python - Size: 9.25 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 45 - Forks: 11
Graph-COM/GAD-EBM
[NeurIPS 2023 : GLFRONTIERS Workshop] GAD-EBM : Graph Anomaly Detection using Energy-Based Models
Language: Jupyter Notebook - Size: 1.38 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 0
YunyunWan/pygod Fork of pygod-team/pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
Size: 657 KB - Last synced at: 10 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
YunyunWan/CoLA Fork of TrustAGI-Lab/CoLA
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning (CoLA), TNNLS-21
Size: 10.5 MB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 3
mala-lab/ACT Fork of QZ-WANG/ACT
The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear).
Size: 17.6 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1
mala-lab/TAM-master
Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"
Language: Python - Size: 9.59 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 21 - Forks: 2
RongrongMa/GLocalKD
Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)
Language: Python - Size: 25.6 MB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 29 - Forks: 11
KDEGroup/CMT
Source code for DASFAA'24 paper "Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph"
Language: Python - Size: 61.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
YuanchenBei/RAND
The source code of RAND, ICDM 2023.
Language: Python - Size: 14.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0
FelixDJC/Awesome-Graph-Anomaly-Detection
A collection of papers for graph anomaly detection, and published algorithms and datasets.
Size: 171 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 79 - Forks: 11
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: Python - Size: 312 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
FelixDJC/ARISE
An official source code for paper "ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness", accepted by IEEE TNNLS.
Language: Python - Size: 256 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
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.
Size: 40.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 267 - Forks: 43
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.
Size: 15.9 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 237 - Forks: 41
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: Python - Size: 311 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 0
FanzhenLiu/DAGAD
Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022
Language: Python - Size: 4.66 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1
