From 7c0d6dd61ef56fc432f3204ff9e6c6236cb839ea Mon Sep 17 00:00:00 2001 From: Yingtong Dou Date: Tue, 23 Jun 2020 00:49:19 -0500 Subject: [PATCH] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 8473dda..f74e4c8 100644 --- a/README.md +++ b/README.md @@ -25,6 +25,7 @@ **Introduction** + **DGFraud** is a Graph Neural Network (GNN) based toolbox for fraud detection. It integrates the implementation & comparison of state-of-the-art GNN-based fraud detection models. It also includes several utility functions such as graph preprocessing, graph sampling, and performance evaluation. The introduction of implemented models can be found [here](#implemented-models). We welcome contributions on adding new fraud detectors and extending the features of the toolbox. Some of the planned features are listed in [TODO list](#todo-list).