Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)
☆35Dec 12, 2021Updated 4 years ago
Alternatives and similar repositories for GLocalKD
Users that are interested in GLocalKD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by AC…☆12Dec 1, 2023Updated 2 years ago
- Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)☆11Oct 18, 2022Updated 3 years ago
- Code for Graph-level Anomaly Detection via Hierarchical Memory Networks (HimNet)☆18Oct 6, 2023Updated 2 years ago
- Source code and additional results for GLOD issues☆12Jan 19, 2023Updated 3 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆50Oct 8, 2021Updated 4 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.
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆30Jul 18, 2024Updated last year
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆45Dec 10, 2022Updated 3 years ago
- ☆19Apr 29, 2023Updated 3 years ago
- Official Code for IJCAI25 paper "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"☆23Jun 7, 2025Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆46Mar 2, 2023Updated 3 years ago
- Code of the paper 'Raising the Bar in Graph-level Anomaly Detection' published in IJCAI-2022☆24Jun 3, 2022Updated 4 years ago
- Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection☆13May 9, 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 2 years ago
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆46Apr 28, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆133Dec 25, 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
- The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.☆11Feb 10, 2023Updated 3 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆54Nov 23, 2022Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆37Oct 13, 2022Updated 3 years ago
- Official code for paper "OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning"☆13Jun 19, 2024Updated 2 years ago
- official implementation of RoSAS: Deep Semi-supervised Anomaly Detection with Contamination-resilient Continuous Supervision☆12Jul 18, 2023Updated 2 years ago
- Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of …☆218Jun 6, 2026Updated last month
- ☆31Dec 6, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…☆20Oct 14, 2022Updated 3 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。☆30Nov 19, 2023Updated 2 years ago
- Official PyTorch implementation of ICCV'25 paper "Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection".☆46Mar 7, 2026Updated 4 months ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆29Aug 12, 2022Updated 3 years ago
- Accepted by Neurl Networks☆12May 11, 2026Updated last month
- 用于图异常检测的数据集☆45Jan 17, 2020Updated 6 years ago
- Anomaly Mining of Entity Neighborhoods (AMEN)☆19Feb 2, 2017Updated 9 years ago
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆66Aug 13, 2025Updated 10 months ago
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆34Oct 2, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆60Nov 22, 2024Updated last year
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Oct 1, 2023Updated 2 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆207Jun 25, 2024Updated 2 years ago
- Official PyTorch implementation of KDD2025 paper "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection"☆53Sep 20, 2025Updated 9 months ago
- ☆10Jun 23, 2022Updated 4 years ago
- ☆32Aug 7, 2023Updated 2 years ago
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆63Jun 3, 2026Updated last month