PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
☆82Sep 13, 2021Updated 4 years ago
Alternatives and similar repositories for GCN_AnomalyDetection_pytorch
Users that are interested in GCN_AnomalyDetection_pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for Deep Anomaly Detection on Attributed Networks (SDM2019)☆135Sep 13, 2021Updated 4 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆106May 12, 2021Updated 5 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆50Oct 8, 2021Updated 4 years ago
- Implementation of WSDM2019 -- Interactive Anomaly Detection on Attributed Networks☆14Mar 15, 2021Updated 5 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆51Sep 9, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- AnomalyDAE (ICASSP2020)☆52Apr 17, 2020Updated 6 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆60Feb 26, 2024Updated 2 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆29Aug 12, 2022Updated 4 years ago
- ☆15Mar 2, 2023Updated 3 years ago
- Anomaly Mining of Entity Neighborhoods (AMEN)☆18Feb 2, 2017Updated 9 years ago
- Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).☆33May 14, 2025Updated last year
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Jul 6, 2023Updated 3 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆383Jul 10, 2023Updated 3 years ago
- Multi-scale Anomaly Detection on Attributed Networks☆14Dec 3, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆66Dec 1, 2023Updated 2 years ago
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆27Feb 24, 2022Updated 4 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆36Dec 12, 2021Updated 4 years ago
- Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks☆12Oct 4, 2021Updated 4 years ago
- Data repository for PyGOD☆51Jan 31, 2024Updated 2 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆134Dec 25, 2023Updated 2 years ago
- Source code and additional results for GLOD issues☆12Jan 19, 2023Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆206Jun 25, 2024Updated 2 years ago
- (WWW 2021) Source code of PC-GNN☆112Dec 26, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。☆30Nov 19, 2023Updated 2 years ago
- Code for "Beyond Individual Input for Deep Anomaly Detection on Tabular Data"☆16Nov 17, 2025Updated 8 months ago
- ☆38May 17, 2022Updated 4 years ago
- Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models☆15Sep 3, 2025Updated 11 months ago
- Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)☆11Oct 18, 2022Updated 3 years ago
- The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.☆11Feb 10, 2023Updated 3 years ago
- CIKM 23 Oral - HoLe: Homophily-enhanced Structure Learning for Graph Clustering☆11Feb 29, 2024Updated 2 years ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆34Feb 10, 2026Updated 6 months ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆316Oct 11, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by AC…☆12Dec 1, 2023Updated 2 years ago
- Deep Graph Outlier Detection☆66Oct 5, 2023Updated 2 years ago
- Code for structural temporal graph neural networks for anomaly detection in dynamic graphs☆24Jun 8, 2024Updated 2 years ago
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆15Jul 31, 2024Updated 2 years ago
- ☆30Jul 7, 2024Updated 2 years ago
- Implementation of Active Anomaly Discovery (AAD) in Python☆14Dec 19, 2017Updated 8 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆62Nov 17, 2021Updated 4 years ago