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
Alternatives and similar repositories for SAGOD
Users that are interested in SAGOD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆29Aug 12, 2022Updated 4 years ago
- Code of the paper 'Raising the Bar in Graph-level Anomaly Detection' published in IJCAI-2022☆24Jun 3, 2022Updated 4 years ago
- AnomalyDAE (ICASSP2020)☆52Apr 17, 2020Updated 6 years ago
- ☆15Mar 2, 2023Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆38Oct 13, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.☆19Aug 28, 2023Updated 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 3 years ago
- ☆19Apr 29, 2023Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆207Jun 25, 2024Updated 2 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆384Jul 10, 2023Updated 3 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.☆133Dec 25, 2023Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆67Dec 1, 2023Updated 2 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆36Dec 12, 2021Updated 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.
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆61Nov 22, 2024Updated last year
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆107May 12, 2021Updated 5 years ago
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆47Apr 28, 2024Updated 2 years ago
- ☆38May 17, 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
- ☆34Jun 1, 2022Updated 4 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Mar 2, 2023Updated 3 years ago
- Source code and additional results for GLOD issues☆12Jan 19, 2023Updated 3 years ago
- Code for Graph-level Anomaly Detection via Hierarchical Memory Networks (HimNet)☆18Oct 6, 2023Updated 2 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.
- Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)☆11Oct 18, 2022Updated 3 years ago
- Codebase for KDD22 paper "Subset Node Anomaly Tracking over Large Dynamic Graphs"☆15Dec 13, 2022Updated 3 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆82Sep 13, 2021Updated 4 years ago
- dynamic graph/network embedding/representation methods☆16Apr 27, 2020Updated 6 years ago
- my implement of my paper☆67Aug 30, 2021Updated 5 years ago
- Code for Deep Anomaly Detection on Attributed Networks (SDM2019)☆135Sep 13, 2021Updated 4 years ago
- ☆18Nov 21, 2023Updated 2 years ago
- A Python Library for Graph Outlier Detection (Anomaly Detection)☆1,496Nov 14, 2024Updated last year
- ☆25Mar 15, 2024Updated 2 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.
- ☆12Jan 10, 2023Updated 3 years ago
- 用于图异常检测的数据集☆45Jan 17, 2020Updated 6 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆30Jul 18, 2024Updated 2 years ago
- Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).☆33May 14, 2025Updated last year
- ☆32Aug 7, 2023Updated 3 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆55Nov 23, 2022Updated 3 years ago
- The official Implementation for TKDE paper "Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalizatio…☆14Aug 6, 2023Updated 3 years ago