Alternatives and similar repositories for Fraud-Detection-Papers

Users that are interested in Fraud-Detection-Papers are comparing it to the libraries listed below

• safe-graph / DGFraud
  A Deep Graph-based Toolbox for Fraud Detection
  ☆737Updated 3 years ago
• EdisonLeeeee / ICDM2022_competition_3rd_place_solution
  3rd place solution of ICDM 2022 Risk Commodities Detection on Large-Scale E-Commence Graphs
  ☆38Updated 2 years ago
• Duxiaoman-DI / Duxiaoman-talk
  度小满数据智能应用部成员公开演讲材料
  ☆33Updated last year
• eaglelab-zju / ICDMCup2022-top1
  ☆18Updated 2 years ago
• DGraphXinye / 2022_finvcup_baseline
  ☆100Updated 3 years ago
• iqiyi / HMGNN
  ☆63Updated 4 years ago
• taptapon / practice_of_intelligent_risk_control
  《智能风控实践指南：从模型、特征到决策》代码。 《智能风控实践指南：从模型、特征到决策》书籍配套Python代码。
  ☆114Updated 2 years ago
• deymm / encoder2predict
  利用Encoder对二分类任务的序列数据进行概率预测
  ☆51Updated 4 years ago
• safe-graph / DGFraud-TF2
  A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
  ☆132Updated 3 years ago
• BGT-M / spartan2
  A collection of data mining algorithms on big graphs and time series
  ☆91Updated 2 years ago
• safe-graph / UGFraud
  An Unsupervised Graph-based Toolbox for Fraud Detection
  ☆130Updated 3 years ago
• rgmining / fraudar
  A wrapper of FRAUDAR algorithm
  ☆70Updated 2 weeks ago
• YingtongDou / CARE-GNN
  Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
  ☆279Updated 2 years ago
• csearch / risky-company-project
  ☆31Updated 7 years ago
• IPL / fraud-detection-papers
  A collection of research and survey papers of fraud detection mainly in advertising.
  ☆237Updated 3 years ago
• jackychancjcjcj / Competition_notebook
  数据竞赛笔记fork
  ☆74Updated 2 years ago
• rickyxume / TianChi_RecSys_AntiSpam
  第三届 Apache Flink 极客挑战赛暨AAIG CUP——电商推荐“抱大腿”攻击识别亚军代码方案
  ☆29Updated 3 years ago
• JunhaoWang / fraudar
  ☆25Updated 6 years ago
• JackHCC / Awesome-Uplift-Model
  🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】
  ☆137Updated 2 years ago
• XiaoxiaoMa-MQ / Awesome-Deep-Graph-Anomaly-Detection
  Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…
  ☆361Updated 2 years ago
• safe-graph / graph-fraud-detection-papers
  A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
  ☆1,630Updated last month
• ChuanyuXue / Recommender-Systems-Competition-TopSolutions
  推荐系统竞赛TOP开源解决方案汇总。
  ☆258Updated 3 years ago
• ruyiluo / Reco-Res
  优质的推荐算法资源汇总
  ☆151Updated 3 years ago
• shawroad / DeepCTR-pytorch
  Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.
  ☆67Updated 11 months ago
• yangxudong / feature_engineering
  ☆70Updated last year
• datawhalechina / torch-rechub
  A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
  ☆538Updated 2 weeks ago
• lizhong2613 / GraphAnomalyDetectionDatasets
  用于图异常检测的数据集
  ☆44Updated 5 years ago
• lalaland1921 / Squeeze
  多维监控异常根因分析，复现论文ISSRE 2019 REG paper 'Generic and Robust Localization of Multi-Dimensional Root Cause'.
  ☆51Updated 2 years ago
• shenghua-liu / HoloScope
  HoloScope: Topology-and-Spike Aware Fraud Detection
  ☆54Updated 4 years ago
• zhulei227 / GNN_Notes
  图神经网络(GNN)学习笔记
  ☆72Updated 4 years ago