A Python Library for Graph Outlier Detection (Anomaly Detection)
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Updated
Nov 14, 2024 - Python
A Python Library for Graph Outlier Detection (Anomaly Detection)
Code for Deep Anomaly Detection on Attributed Networks (SDM2019)
An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.
Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"
[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"
Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)
Official PyTorch implementation of KDD2025 paper "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection"
Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022
Official Code for IJCAI25 paper "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"
An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by ACM MM 2023.
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning (CoLA), TNNLS-21
Official PyTorch implementation of ICLR'25 paper "Open-Set Graph Anomaly Detection via Normal Structure Regularisation"
The source code of Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection (RAND), ICDM 2023.
An official source code for paper "ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness", accepted by IEEE TNNLS.
Source code for DASFAA'24 paper "Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph"
A Python Library for Graph Outlier Detection (Anomaly Detection)
The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear).
Code for ECMLPKDD23 paper "Graph-level Anomaly Detection via Hierarchical Memory Networks" (HimNet)
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