---
title: "Video | The Power Of Graph Machine Learning: Ethereum Blockchain Fraud Detection"
description: Watch our video and listen to Parker Erickson Machine Learning Engineer at TigerGraph discuss leveraging graph-based features and GNNs to overcome the accuracy barrier in fraud detection machine learning.
image: https://info.tigergraph.com/hubfs/Screen%20Shot%202023-08-15%20at%206.00.02%20PM.png
---

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# ![](https://info.tigergraph.com/hubfs/image-png-1.png)

# The Power Of Graph Machine Learning: Ethereum Blockchain Fraud Detection

Identifying fraudulent behaviors is becoming increasingly complex as technology advances and fraudsters constantly evolve new ways to exploit people, companies, and institutions. The complexity grows as companies introduce new channels, platforms, and devices for customers to engage with their brands, manage their accounts, and make transactions. In this webinar, we will cover how businesses utilize TigerGraph to extract features that result in a more performant machine learning model compared to those using traditional feature sets.

Watch this webinar to learn:

- Getting started with TigerGraph's Machine Learning Workbench
- How to build a fraud detection graph database solution
- Hand-on python notebook walkthrough
- Exploring Graph Data Science algorithms
- Executing Graph + Machine Learning techniques

**Speaker**

Parker Erickson, Machine Learning Engineer

Register now and watch our video.

### Watch the video

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