agoodge / LUNARLinks
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
☆49Updated 7 months ago
Alternatives and similar repositories for LUNAR
Users that are interested in LUNAR are comparing it to the libraries listed below
Sorting:
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆60Updated last year
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆35Updated 4 years ago
- Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)☆12Updated 3 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆48Updated 4 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆60Updated 4 years ago
- Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).☆29Updated 8 months ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆195Updated last year
- Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)☆161Updated 3 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 4 years ago
- AnomalyDAE (ICASSP2020)☆52Updated 5 years ago
- Repository for ICML2022☆17Updated 3 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆99Updated 4 years ago
- my implement of my paper☆66Updated 4 years ago
- Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022☆20Updated 2 years ago
- Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning☆28Updated 3 years ago
- Code for structural temporal graph neural networks for anomaly detection in dynamic graphs☆24Updated last year
- The code of Addgraph frame.☆23Updated 4 years ago
- Graph Convolutional Adversarial Networks for Spatio-Temporal Anomaly Detection☆31Updated 3 years ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆89Updated 3 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆29Updated last year
- ☆42Updated 4 years ago
- code of DeepGWC: A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification☆18Updated 2 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆39Updated last year
- Towards a Rigorous Evaluation of Time-series Anomaly Detection (AAAI'22)☆31Updated 3 years ago
- ☆49Updated 3 years ago
- Multivariate Time-Series Anomaly Detection with GNN.☆77Updated 2 years ago
- Code implementation for : [Graph Neural Network-Based Anomaly Detection in Multivariate Time Series(AAAI'21)](https://arxiv.org/pdf/2106.…☆19Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆37Updated 3 years ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆25Updated 3 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆65Updated 2 years ago