aravind-sundaresan / Graph-ML-Fraud-Detection
Fraud detection in bank transactions using graph databases and machine learning.
☆20Updated 4 years ago
Alternatives and similar repositories for Graph-ML-Fraud-Detection:
Users that are interested in Graph-ML-Fraud-Detection are comparing it to the libraries listed below
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆33Updated last year
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆131Updated 2 years ago
- ☆66Updated last year
- An Unsupervised Graph-based Toolbox for Fraud Detection☆131Updated 2 years ago
- Fraud detection with the Paysim financial dataset, Neo4j Graph Data Science, and Neo4j Bloom☆42Updated 4 months ago
- Anti Money Laundering Detection using Graph Attention Network☆40Updated last year
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆40Updated 3 years ago
- Social Network Analysis in Python and Julia using Networkx,IGraph and LightGraphs.jl☆50Updated 4 months ago
- ☆10Updated 2 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
- Exploring Neo4j and Graph Data Science for Fraud Detection☆70Updated last year
- Online-lending fraud detection with customers' sequential behavioral data (End-to-end ML and NLP project).☆18Updated 4 years ago
- PyDCD: A Deep Learning-Based Community Detection Software in Python for Large-scale Networks☆12Updated 5 years ago
- Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…☆38Updated 3 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆259Updated 2 years ago
- This repository contains the code for building a recommendation system using Graph Neural Networks(GNNs).☆27Updated 3 years ago
- A PyTorch implementation of DeepFD (Deep Structure Learning for Fraud Detection)☆29Updated 4 years ago
- An example project for training a GraphSAGE Model, and setup a Real-time Fraud Detection Web Service(Frontend and Backend) with NebulaGra…☆33Updated 2 years ago
- Learn Node Embeddings from DeepWalk☆65Updated 5 years ago
- Anomaly detection algorithm for social networks using Graph Neural Networks by leveraging graph parameteres, between centrality, degree, …☆11Updated 5 years ago
- ☆45Updated 2 years ago
- Fraud detection using Graph Convolutional Networks☆11Updated 2 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆73Updated 5 months ago
- GraphSAGE and GAT for link prediction.☆86Updated 5 years ago
- EvolveGCN applied to Elliptic dataset☆27Updated 3 years ago
- OCAN: One-Class Adversarial Nets for Fraud Detection☆24Updated 6 years ago
- ☆39Updated 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…☆26Updated 3 years ago
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆13Updated last year
- Friends Recommendation and Link Prediction in Social Netowork☆47Updated 3 years ago