> This page is for version 2.0.0.
> For other versions, use one of these documentation indexes:
> - 3.0.0 (Latest) (default): https://docs.nvidia.com/nim/financial-fraud-training/3.0.0/llms.txt
> - 2.0.0: https://docs.nvidia.com/nim/financial-fraud-training/2.0.0/llms.txt
> - 1.0.0: https://docs.nvidia.com/nim/financial-fraud-training/1.0.0/llms.txt

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nim/financial-fraud-training/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nim/financial-fraud-training/_mcp/server.

# Release Notes

## December 8, 2025

## Release 2.0.0

### Features

* Edge Prediction
* Builds a GNN Model
* Train an XGBoost model to predict fraud scores
* Uses [Wholegraph](https://docs.rapids.ai/api/cugraph/stable/wholegraph/) and [cuGraph](https://docs.rapids.ai/api/cugraph/stable/) to encapsulate graph storage and complexity efficiently
* Support to use XGBoost modeling optionally without GNN embeddings

## May 1, 2025

## Release 1.0.0

### Features

* Node Prediction
* Builds a GNN Model
* Train an XGBoost model to predict fraud scores
* Uses [Wholegraph](https://docs.rapids.ai/api/cugraph/stable/wholegraph/) and [cuGraph](https://docs.rapids.ai/api/cugraph/stable/) to efficiently encapsulate graph storage and complexity
* Support to optionally us XGBoost modeling without GNN embeddings