The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear).
☆45Dec 10, 2022Updated 3 years ago
Alternatives and similar repositories for ACT
Users that are interested in ACT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆46Apr 28, 2024Updated 2 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆50Oct 8, 2021Updated 4 years ago
- ☆15Mar 2, 2023Updated 3 years ago
- ☆19Apr 29, 2023Updated 3 years ago
- ☆21Dec 30, 2025Updated 6 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆34Oct 2, 2022Updated 3 years ago
- The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.☆19Aug 28, 2023Updated 2 years ago
- [ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"☆32Dec 30, 2021Updated 4 years ago
- Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022☆22Mar 14, 2023Updated 3 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆133Dec 25, 2023Updated 2 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆29Aug 12, 2022Updated 3 years ago
- Official Code for IJCAI25 paper "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"☆23Jun 7, 2025Updated last year
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆51Sep 9, 2021Updated 4 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆46Mar 2, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- 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 implementation of ECML PKDD'24 paper 'Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection'.☆18Aug 17, 2024Updated last year
- Code for paper "Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation" (TKDE 2023)☆16Dec 4, 2025Updated 7 months 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
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆30Jul 18, 2024Updated last year
- ☆25Sep 22, 2024Updated last year
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆53Dec 23, 2023Updated 2 years ago
- ☆18Oct 4, 2022Updated 3 years ago
- Implementation of Active Anomaly Discovery (AAD) in Python☆15Dec 19, 2017Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆60Feb 26, 2024Updated 2 years ago
- [CVPR 2023] This is the official PyTorch implementation for "Dynamic Focus-aware Positional Queries for Semantic Segmentation".☆61Mar 4, 2023Updated 3 years ago
- 用于图异常检测的数据集☆45Jan 17, 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
- The implementation of Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning☆13Apr 14, 2024Updated 2 years ago
- Source code and additional results for GLOD issues☆12Jan 19, 2023Updated 3 years ago
- A curated list of papers on graph transfer learning (GTL).☆19Oct 23, 2023Updated 2 years ago
- [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"☆74Nov 15, 2022Updated 3 years ago
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆44Nov 25, 2021Updated 4 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.
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆207Jun 25, 2024Updated 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
- 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
- This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".☆120Dec 12, 2021Updated 4 years ago
- Unsupervised Domain Adaptation on Graphs☆15Apr 6, 2022Updated 4 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Oct 7, 2021Updated 4 years ago
- A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)☆38Sep 23, 2023Updated 2 years ago