Metadata-Version: 2.1
Name: inductiveGRL
Version: 0.2
Summary: the code used in the experimental setup of our paper 'Inductive Graph Representation Learning for Fraud Detection'.
Home-page: https://github.com/Charlesvandamme/Inductive-Graph-Representation-Learning-for-Fraud-Detection
Author: Charles Van Damme
Author-email: charles.vandamme@student.kuleuven.be
License: MIT
Download-URL: https://github.com/rafaelvanbelle/Inductive-Graph-Representation-Learning-for-Fraud-Detection/releases/download/v0.2/inductiveGRL-0.2.tar.gz
Platform: UNKNOWN
Requires-Dist: ipynb
Requires-Dist: nbimporter
Requires-Dist: stellargraph
Requires-Dist: networkx
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scikit-plot
Requires-Dist: matplotlib
Requires-Dist: sklearn
Requires-Dist: xgboost
Requires-Dist: keras
Requires-Dist: tensorflow
Requires-Dist: matlab-kernel

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