squareRoot3 / Rethinking-Anomaly-DetectionLinks
"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
☆181Updated last year
Alternatives and similar repositories for Rethinking-Anomaly-Detection
Users that are interested in Rethinking-Anomaly-Detection are comparing it to the libraries listed below
Sorting:
- ☆38Updated 3 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆93Updated 4 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆128Updated last year
- (WWW 2021) Source code of PC-GNN☆105Updated 3 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆74Updated 3 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆59Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆47Updated 3 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Updated 2 years ago
- ☆29Updated last year
- Data repository for PyGOD☆43Updated last year
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 3 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- The pytorch implementation of DCI (SIGIR2021).☆34Updated 2 years ago
- ☆57Updated 3 years ago
- A curated list of papers and code related to class-imbalanced learning on graphs (CILG).☆39Updated 5 months ago
- ☆46Updated 2 years ago
- A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。☆31Updated last year
- ☆31Updated 3 years ago
- ☆49Updated 2 years ago
- Deep Graph Outlier Detection☆67Updated last year
- ☆97Updated 4 years ago
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆164Updated last year
- ☆47Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆62Updated last year
- Parameterized Explainer for Graph Neural Network☆136Updated last year
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆45Updated 7 months ago