manik-marwaha / Predicting-fraudulent-transactions-in-cryptosLinks
using the Elliptic Data Set (https://www.kaggle.com/ellipticco/elliptic-data-set) and working to improve on the orignals results by Weber, Mark, et al. "Anti-money laundering in bitcoin: Experimenting with graph convolutional networks for financial forensics." arXiv preprint arXiv:1908.02591 (2019). We use ML models such as SVM and Random Fores…
☆13Updated last year
Alternatives and similar repositories for Predicting-fraudulent-transactions-in-cryptos
Users that are interested in Predicting-fraudulent-transactions-in-cryptos are comparing it to the libraries listed below
Sorting:
- EvolveGCN applied to Elliptic dataset☆30Updated 3 years ago
- Graph Convolutional Network on data from Elliptic bitcoin dataset of transactions graph☆16Updated 5 years ago
- Easy implementations of GCN on Elliptic Datasets☆13Updated 4 years ago
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆33Updated 2 years ago
- ☆33Updated 5 years ago
- Anomaly detection algorithm for social networks using Graph Neural Networks by leveraging graph parameteres, between centrality, degree, …☆12Updated 5 years ago
- A PyTorch implementation of DeepFD (Deep Structure Learning for Fraud Detection)☆30Updated 4 years ago
- ☆9Updated 4 years ago
- 🎏 Python implementation of link analysis algorithm.☆76Updated 4 years ago
- Generator for graph of transactions. Is kind of optimized for large graph generations. Contains graph structure generation, nodes informa…☆28Updated last year
- Code for the paper "Unsupervised Community Detection with Modularity-based Attention Model"☆36Updated 5 years ago
- OCAN: One-Class Adversarial Nets for Fraud Detection☆24Updated 6 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆132Updated 3 years ago
- This repository builds an anti-money laundering scheme employing graph theory and social network analysis to detect the sophisticated lay…☆20Updated 5 years ago
- Online-lending fraud detection with customers' sequential behavioral data (End-to-end ML and NLP project).☆19Updated 4 years ago
- Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure☆20Updated 5 years ago
- Code and dataset for IEEE TKDE paper "Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity"☆42Updated 4 years ago
- 微众银行首届Fintechathon金融科技高校技术大赛微AI战队代码☆15Updated 5 years ago
- Find community/segment in an attributed graph of Facebook data.☆16Updated 8 years ago
- Machine learning project, Master's Data Science, 2017☆10Updated 8 years ago
- This is the repository for the collection of Graph Neural Network for Financial Technology.☆28Updated 3 years ago
- Adversarial Autoencoders for Recommendation Tasks☆19Updated 2 years ago
- Multi-Graph Graph Attention Network (MG-GAT) from "Y. Leng, R. Ruiz, X. Dong, and A. Pentland, Interpretable Recommender System With Het…☆27Updated 3 years ago
- 机器学习的特征工程，包括特征抽取、特征预处理、特征选择、特征降维。☆25Updated 6 years ago
- Chartalist.org. Sponsored by the Canadian NSERC Discovery Grant RGPIN-2020-05665: Data Science on Blockchain and the National Science Fou…☆33Updated last year
- An Unsupervised Graph-based Toolbox for Fraud Detection☆130Updated 3 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated 10 months ago
- Fraud detection in bank transactions using graph databases and machine learning.☆23Updated 5 years ago
- Who Stole the Postage? Fraud Detection in Return-Freight Insurance Claims☆20Updated 6 years ago
- Rank the pages in the corpus by considering the inlinks and outlinks. Also handling dead ends and spider traps. Topic Specific Page Rank …☆10Updated 7 years ago