FinTech & AI

Graph Neural Networks (GNNs) in FinTech: Sub-Millisecond Anti-Money Laundering with PyG

A production financial engineering guide to Graph Neural Networks. We analyze Relational Graph Convolutional Networks (RGCN), neighborhood message-passing aggregation, dynamic temporal edge sampling, and detecting money laundering rings in sub-10ms transaction streams.

Sachin Sharma
Sachin SharmaCreator
Sep 2, 2026
3 min read
Graph Neural Networks (GNNs) in FinTech: Sub-Millisecond Anti-Money Laundering with PyG
Featured Resource
Quick Overview

A production financial engineering guide to Graph Neural Networks. We analyze Relational Graph Convolutional Networks (RGCN), neighborhood message-passing aggregation, dynamic temporal edge sampling, and detecting money laundering rings in sub-10ms transaction streams.

Sachin Sharma

Sachin Sharma

Software Developer & Mobile Engineer

Building digital experiences at the intersection of design and code. Sharing weekly insights on engineering, productivity, and the future of tech.