safe-graph/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
Implements multiple GNN architectures (SemiGNN, GAS, FdGars, GeniePath, GEM) for comparative evaluation on fraud detection tasks, with support for heterogeneous graphs and multi-relational data structures. Built on TensorFlow with modular base models enabling custom dataset integration through adjacency matrices, feature matrices, and labels. Targets domains like financial fraud, spam reviews, and malicious account detection across DBLP, Yelp, and custom graph datasets.
750 stars. No commits in the last 6 months.
Stars
750
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165
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 20, 2022
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