An Unsupervised Graph-based Toolbox for Fraud Detection
☆132Apr 18, 2022Updated 4 years ago
Alternatives and similar repositories for UGFraud
Users that are interested in UGFraud are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Deep Graph-based Toolbox for Fraud Detection☆757Apr 20, 2022Updated 4 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆139Apr 20, 2022Updated 4 years ago
- A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources☆1,889Jun 29, 2026Updated 2 months ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆316Oct 11, 2022Updated 3 years ago
- ☆19Jul 25, 2022Updated 4 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.
- A PyTorch implementation of DeepFD (Deep Structure Learning for Fraud Detection)☆32Oct 2, 2020Updated 5 years ago
- An implementation of Fraud Eagle algorithm☆19Dec 17, 2025Updated 8 months ago
- A curated list of data mining papers about fraud detection.☆1,828Jan 5, 2026Updated 7 months ago
- An End-to-end Outlier Detection System☆257Mar 25, 2023Updated 3 years ago
- Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks☆110May 3, 2024Updated 2 years ago
- An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and D…☆226Mar 31, 2024Updated 2 years ago
- D-Cube: Dense-Block Detection in Terabyte-Scale Tensors (WSDM'17 & Frontiers in Big Data'21)☆33Oct 30, 2024Updated last year
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆861Dec 15, 2023Updated 2 years ago
- OCAN: One-Class Adversarial Nets for Fraud Detection☆24Sep 12, 2018Updated 7 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 Python Library for Graph Outlier Detection (Anomaly Detection)☆1,496Nov 14, 2024Updated last year
- A collection of research and survey papers of fraud detection mainly in advertising.☆242Aug 4, 2021Updated 5 years ago
- Unified Dense Subgraph Detection Algorithms: **Best student DM paper award in ECML-PKDD'20**☆16May 23, 2024Updated 2 years ago
- Anomaly detection with autoencoders — credit-card-fraud case study☆17Jun 7, 2020Updated 6 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆115Nov 14, 2021Updated 4 years ago
- SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs (Nilforoshan & Shah, 2019).☆22Jul 6, 2023Updated 3 years ago
- An example project for training a GraphSAGE Model, and setup a Real-time Fraud Detection Web Service(Frontend and Backend) with NebulaGra…☆37Aug 6, 2022Updated 4 years ago
- ☆34Jun 1, 2022Updated 4 years ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆23Jun 20, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆51Sep 9, 2021Updated 4 years ago
- 🏅 2021 字节跳动安全 AI 挑战赛赛道 7th 基于文本和多模态数据的风险识别(色情导流用户识别)☆22Jan 3, 2022Updated 4 years ago
- An analysis of the released data on FinCrime Files transactions as depicted on SARs.☆10Nov 26, 2020Updated 5 years ago
- Fraud detection using Graph Convolutional Networks☆13May 9, 2022Updated 4 years ago
- Deep Structure Learning for Fraud Detection (ICDM 2018)☆10Oct 2, 2020Updated 5 years ago
- A wrapper of FRAUDAR algorithm☆69Dec 17, 2025Updated 8 months ago
- 利用Encoder对二分类任务的序列数据进行概率预测☆50Aug 29, 2020Updated 6 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆61Nov 22, 2024Updated last year
- Efficient Approximate Page Rank Algorithm (based on “Local graph partitioning using PageRank vectors” by Andersen, Chung, and Lang)☆10Apr 14, 2014Updated 12 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.
- Code for Deep Anomaly Detection on Attributed Networks (SDM2019)☆135Sep 13, 2021Updated 4 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆385Jul 10, 2023Updated 3 years ago
- Curriculum Meta-Learning for Next POI Recommendation☆18Sep 6, 2021Updated 4 years ago
- We design a Monte Carlo based method, UniWalk, to enable the fast top-k SimRank computation over large undirected graphs. UniWalk directl…☆12Nov 9, 2017Updated 8 years ago
- Model for predicting categories of entities by its mentions☆31Jun 23, 2021Updated 5 years ago
- Find community/segment in an attributed graph of Facebook data.☆18Apr 20, 2017Updated 9 years ago
- Learning Community Embedding with Community Detection and Node Embedding on Graphs☆34May 22, 2019Updated 7 years ago