pboulieris / FraudNLPLinks
Data loading and preprocessing code for the paper titled 'Fraud Detection with NLP', which demonstrates the use of natural language processing techniques to detect fraud in financial transactions.
☆17Updated last year
Alternatives and similar repositories for FraudNLP
Users that are interested in FraudNLP are comparing it to the libraries listed below
Sorting:
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 6 years ago
- Implementation of Robust PCA and Robust Deep Autoencoder over Time Series☆14Updated 5 years ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆46Updated 4 years ago
- Feature Selection using Simulated Annealing☆11Updated 3 years ago
- Anamoly Detection with Autoencoders - Credit Card Fraud Case☆16Updated 5 years ago
- Robuast Variational Autoencoder☆11Updated 4 years ago
- Hands-on tutorial about link analysis techniques☆39Updated 5 years ago
- Tutorial on Multi-Objective Recommender Systems @ KDD 2021☆19Updated 3 years ago
- Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters☆41Updated last week
- Code for SIGKDD'2021 paper: Deep Clustering based Fair Outlier Detection☆11Updated 4 years ago
- Fraud detection with the Paysim financial dataset, Neo4j Graph Data Science, and Neo4j Bloom☆48Updated last year
- A PyTorch implementation of DeepFD (Deep Structure Learning for Fraud Detection)☆31Updated 5 years ago
- ☆11Updated 6 years ago
- A Graph Structure Learning (GSL) Toolkit☆37Updated 3 years ago
- ☆35Updated 5 years ago
- Code for the paper "Estimating Transfer Entropy via Copula Entropy"☆42Updated 2 years ago
- Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…☆34Updated 6 years ago
- Code used in the paper "Time Series Clustering via Community Detection in Networks"☆40Updated 5 years ago
- A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf☆14Updated 6 years ago
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆34Updated 2 years ago
- Spatiotemporal datasets collected for network science, deep learning and general machine learning research.☆61Updated last year
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- ☆37Updated 3 years ago
- Time Series Forecasting for the M5 Competition☆41Updated 4 years ago
- SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017☆26Updated 8 years ago
- Deep Graph Kernels☆13Updated 10 years ago
- Time series forecasting with PyTorch☆85Updated last week
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 4 years ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 3 years ago
- Multi-GNN architectures for Anti-Money Laundering.☆95Updated 2 months ago