Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
☆60Feb 26, 2024Updated 2 years ago
Alternatives and similar repositories for Meta-GDN_AnomalyDetection
Users that are interested in Meta-GDN_AnomalyDetection are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of WSDM2019 -- Interactive Anomaly Detection on Attributed Networks☆14Mar 15, 2021Updated 5 years ago
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆28Feb 24, 2022Updated 4 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 CIKM2020 -- Graph Prototypical Networks for Few-shot Learning on Attributed Networks☆53Apr 9, 2021Updated 5 years ago
- ☆34Jun 1, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- An index of algorithms for few-shot learning/meta-learning on graphs☆160Apr 30, 2025Updated last year
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆106May 12, 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
- Code for Deep Anomaly Detection on Attributed Networks (SDM2019)☆136Sep 13, 2021Updated 4 years ago
- ☆39Jul 30, 2023Updated 2 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆38Oct 17, 2023Updated 2 years ago
- The code of Addgraph frame.☆23Sep 29, 2021Updated 4 years ago
- A curated list of publications and code about data augmentaion for graphs.☆64Jun 22, 2022Updated 4 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
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆207Jun 25, 2024Updated 2 years ago
- ☆38May 17, 2022Updated 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
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆134Dec 25, 2023Updated 2 years ago
- code for "Self-supervised representation learning on dynamic graphs"☆28Jan 4, 2022Updated 4 years ago
- ☆17Mar 17, 2022Updated 4 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆29Aug 12, 2022Updated 3 years ago
- Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot …☆156Aug 5, 2021Updated 4 years ago
- Variational Autoencoders for Marked Point Processes☆16Jun 11, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆10Jun 23, 2022Updated 4 years ago
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆25Feb 12, 2025Updated last year
- ☆20Nov 21, 2023Updated 2 years ago
- Meta Representation Transformation for Low-resource Cross-lingual Learning☆41May 5, 2021Updated 5 years ago
- ☆102Jul 6, 2023Updated 3 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆36Dec 12, 2021Updated 4 years ago
- Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding☆14Mar 24, 2023Updated 3 years ago
- A robust and noisy-resilient anomaly detection method by explicitly learning the representations of time-invariant and time-varying chara…☆17Mar 11, 2021Updated 5 years ago
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks☆50Jun 17, 2025Updated last year
- 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.
- 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
- ☆10Dec 11, 2021Updated 4 years ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆20Jan 7, 2026Updated 6 months ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆54Nov 23, 2022Updated 3 years ago
- A Python Library for Graph Outlier Detection (Anomaly Detection)☆1,497Nov 14, 2024Updated last year
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆37Oct 13, 2022Updated 3 years ago
- The pytorch implementation of DCI (SIGIR2021).☆34Apr 20, 2023Updated 3 years ago