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-TF2
  A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
  ☆131Updated 3 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
• iqiyi / HMGNN
  ☆64Updated 4 years ago
• DGraphXinye / 2022_finvcup_baseline
  ☆99Updated 3 years ago
• rgmining / fraudar
  A wrapper of FRAUDAR algorithm
  ☆68Updated 3 weeks 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
• IPL / fraud-detection-papers
  A collection of research and survey papers of fraud detection mainly in advertising.
  ☆236Updated 3 years ago
• EdisonLeeeee / ICDM2022_competition_3rd_place_solution
  3rd place solution of ICDM 2022 Risk Commodities Detection on Large-Scale E-Commence Graphs
  ☆37Updated 2 years ago
• safe-graph / UGFraud
  An Unsupervised Graph-based Toolbox for Fraud Detection
  ☆130Updated 3 years ago
• eaglelab-zju / ICDMCup2022-top1
  ☆15Updated 2 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。
  ☆111Updated 2 years ago
• safe-graph / DGFraud
  A Deep Graph-based Toolbox for Fraud Detection
  ☆731Updated 3 years ago
• wey-gu / NebulaGraph-Fraud-Detection-GNN
  An example project for training a GraphSAGE Model, and setup a Real-time Fraud Detection Web Service(Frontend and Backend) with NebulaGra…
  ☆36Updated 2 years ago
• shawroad / DeepCTR-pytorch
  Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.
  ☆67Updated 10 months ago
• lizhong2613 / GraphAnomalyDetectionDatasets
  用于图异常检测的数据集
  ☆44Updated 5 years ago
• aister2020 / KDDCUP_2020_Debiasing_1st_Place
  ☆172Updated 4 years ago
• kpzhang / deepcommunitydetection
  PyDCD: A Deep Learning-Based Community Detection Software in Python for Large-scale Networks
  ☆13Updated 5 years ago
• YingtongDou / CARE-GNN
  Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
  ☆274Updated 2 years ago
• xuanjixiao / onerec
  在常规推荐系统算法和系统双优化的范式下，一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合，提出了OneRec算法，希望通过平台或外部各种各样的信息来进行知识集成，打破数据孤岛，极大扩充推荐的“Extra World Knowl…
  ☆130Updated this week
• jackychancjcjcj / Competition_notebook
  数据竞赛笔记fork
  ☆71Updated 2 years ago
• fly-adser / home_for_adser
  some useful papers and blogs for people who are interested in online advertising
  ☆73Updated 2 years ago
• csearch / risky-company-project
  ☆31Updated 7 years ago
• chenlongzhen / intelligent_risk_control
  智能风控:原理、算法与工程实践 代码
  ☆77Updated 4 years ago
• PKU-DAIR / GNN-in-RS
  GNN in Recommendation System (ACM Computing Surveys 2022)
  ☆84Updated 2 years ago
• gloooryyt / oddball_py3
  Python3 implementation of oddball
  ☆35Updated 11 months ago
• li-yang23 / paper-notebook
  读过的一些论文，给自己一个总结和交代吧
  ☆18Updated last year
• Duxiaoman-DI / Duxiaoman-talk
  度小满数据智能应用部成员公开演讲材料
  ☆31Updated last year
• BGT-M / spartan2
  A collection of data mining algorithms on big graphs and time series
  ☆89Updated 2 years ago
• HanpyBin / recommendation-system-model
  Implementation with Pytorch of DeepCrossing, DeepFM,NFM,Wide&Deep
  ☆25Updated 3 months ago
• yangxudong / feature_engineering
  ☆67Updated last year