The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
☆37Oct 13, 2022Updated 3 years ago
Alternatives and similar repositories for ComGA
Users that are interested in ComGA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆104May 12, 2021Updated 4 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆49Oct 8, 2021Updated 4 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆51Sep 9, 2021Updated 4 years ago
- ☆17Oct 14, 2022Updated 3 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆25Jun 2, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆80Sep 13, 2021Updated 4 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。☆31Nov 19, 2023Updated 2 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆383Jul 10, 2023Updated 2 years ago
- Outlier Aware Network Embedding for Attributed Networks☆19Feb 2, 2020Updated 6 years ago
- 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
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆57Nov 22, 2024Updated last year
- ☆38May 17, 2022Updated 3 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Jul 6, 2023Updated 2 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆35Dec 12, 2021Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆19Apr 29, 2023Updated 2 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆29Aug 12, 2022Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆203Jun 25, 2024Updated last year
- Code for Deep Anomaly Detection on Attributed Networks (SDM2019)☆135Sep 13, 2021Updated 4 years ago
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆45Dec 10, 2022Updated 3 years ago
- The code for the paper "AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models"☆24Aug 28, 2024Updated last year
- [KDD 2023] Group-based Fraud Detection Network on e-Commerce Platforms☆16Feb 16, 2024Updated 2 years ago
- A Python Library for Graph Outlier Detection (Anomaly Detection)☆1,489Nov 14, 2024Updated last year
- ☆15Mar 2, 2023Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Data repository for PyGOD☆50Jan 31, 2024Updated 2 years ago
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆17Aug 7, 2023Updated 2 years ago
- Multi-scale Anomaly Detection on Attributed Networks☆14Dec 3, 2021Updated 4 years ago
- Code for GBK-GNN (paper accepted by WWW2022)☆17Jun 16, 2022Updated 3 years ago
- 用于图异常检测的数据集☆45Jan 17, 2020Updated 6 years ago
- ☆18Mar 15, 2024Updated 2 years ago
- The pytorch implementation of ClusterSCL (WWW2022).☆15Apr 20, 2023Updated 2 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆134Dec 25, 2023Updated 2 years ago
- Code of the paper 'Raising the Bar in Graph-level Anomaly Detection' published in IJCAI-2022☆24Jun 3, 2022Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding☆14Mar 24, 2023Updated 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
- ☆38Jul 2, 2022Updated 3 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆145Jun 25, 2024Updated last year
- The pytorch implementation of DCI (SIGIR2021).☆34Apr 20, 2023Updated 2 years ago
- The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.☆19Aug 28, 2023Updated 2 years ago
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆46Apr 28, 2024Updated last year